Application of improved Jellyfish search algorithm for 9-parameters cell extraction and GMPPT in PV systems Article Swipe
Adedayo M. Farayola
,
Yanxia Sun
,
Ahmed Ali
,
Baseem Khan
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-024-75619-3
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-024-75619-3
Optimization algorithms are essential tools used to address real-world problems through minimization or maximization processes. In the context of photovoltaic (PV) systems, various optimization algorithms have been employed to extract solar cell parameters using minimization techniques, and to identify the maximum power point (MPP) using maximization approaches. However, under partial shading conditions or during rapidly changing irradiance, many of these algorithms tend to get trapped in local minima, failing to locate the global maximum power point (GMPPT). This shortcoming leads to significant energy losses from PV cells. Similarly, the extraction of solar cell parameters is often compromised by the random search behavior and inadequate exploration and exploitation capabilities of many existing algorithms. The Jellyfish Search Optimization (JSO) algorithm is a recent, parameter-free method developed to tackle a wide range of optimization problems. Despite its innovative design, JSO is prone to premature convergence and exhibits a longer convergence time. To address these limitations, this paper proposes a modified version of the JSO algorithm, which integrates the state-of-the-art features of JSO with the Lévy flight characteristic from the cuckoo search algorithm. This combination aims to achieve a better balance between exploration and exploitation. To validate the effectiveness of the proposed Improved Jellyfish Search Optimization (IJSO) algorithm in PV systems, extensive experiments were conducted. These experiments included benchmarking with complex test functions, extracting cell parameters using various solar cell models, and maximizing energy output from PV systems under different environmental conditions. The results demonstrate that the proposed IJSO algorithm effectively enhances parameter extraction and global maximum power point tracking, making it a promising solution for optimizing energy extraction from PV cells in dynamic conditions.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-024-75619-3
- OA Status
- gold
- Cited By
- 3
- References
- 57
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403558000
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4403558000Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-024-75619-3Digital Object Identifier
- Title
-
Application of improved Jellyfish search algorithm for 9-parameters cell extraction and GMPPT in PV systemsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-10-19Full publication date if available
- Authors
-
Adedayo M. Farayola, Yanxia Sun, Ahmed Ali, Baseem KhanList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-024-75619-3Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1038/s41598-024-75619-3Direct OA link when available
- Concepts
-
Jellyfish, Extraction (chemistry), Computer science, Algorithm, Biology, Fishery, Chemistry, ChromatographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 1Per-year citation counts (last 5 years)
- References (count)
-
57Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4403558000 |
|---|---|
| doi | https://doi.org/10.1038/s41598-024-75619-3 |
| ids.doi | https://doi.org/10.1038/s41598-024-75619-3 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/39427060 |
| ids.openalex | https://openalex.org/W4403558000 |
| fwci | 0.55073194 |
| type | article |
| title | Application of improved Jellyfish search algorithm for 9-parameters cell extraction and GMPPT in PV systems |
| biblio.issue | 1 |
| biblio.volume | 14 |
| biblio.last_page | 24602 |
| biblio.first_page | 24602 |
| topics[0].id | https://openalex.org/T10468 |
| topics[0].field.id | https://openalex.org/fields/21 |
| topics[0].field.display_name | Energy |
| topics[0].score | 0.9995999932289124 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2105 |
| topics[0].subfield.display_name | Renewable Energy, Sustainability and the Environment |
| topics[0].display_name | Photovoltaic System Optimization Techniques |
| topics[1].id | https://openalex.org/T11276 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9846000075340271 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Solar Radiation and Photovoltaics |
| topics[2].id | https://openalex.org/T10905 |
| topics[2].field.id | https://openalex.org/fields/21 |
| topics[2].field.display_name | Energy |
| topics[2].score | 0.9383000135421753 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2105 |
| topics[2].subfield.display_name | Renewable Energy, Sustainability and the Environment |
| topics[2].display_name | Solar Thermal and Photovoltaic Systems |
| is_xpac | False |
| apc_list.value | 1890 |
| apc_list.currency | EUR |
| apc_list.value_usd | 2190 |
| apc_paid.value | 1890 |
| apc_paid.currency | EUR |
| apc_paid.value_usd | 2190 |
| concepts[0].id | https://openalex.org/C2779735984 |
| concepts[0].level | 2 |
| concepts[0].score | 0.9346264600753784 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q30178 |
| concepts[0].display_name | Jellyfish |
| concepts[1].id | https://openalex.org/C4725764 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6261087656021118 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q844704 |
| concepts[1].display_name | Extraction (chemistry) |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.6163336634635925 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C11413529 |
| concepts[3].level | 1 |
| concepts[3].score | 0.49596843123435974 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[3].display_name | Algorithm |
| concepts[4].id | https://openalex.org/C86803240 |
| concepts[4].level | 0 |
| concepts[4].score | 0.22242474555969238 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[4].display_name | Biology |
| concepts[5].id | https://openalex.org/C505870484 |
| concepts[5].level | 1 |
| concepts[5].score | 0.13415038585662842 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q180538 |
| concepts[5].display_name | Fishery |
| concepts[6].id | https://openalex.org/C185592680 |
| concepts[6].level | 0 |
| concepts[6].score | 0.11681532859802246 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[6].display_name | Chemistry |
| concepts[7].id | https://openalex.org/C43617362 |
| concepts[7].level | 1 |
| concepts[7].score | 0.08398395776748657 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q170050 |
| concepts[7].display_name | Chromatography |
| keywords[0].id | https://openalex.org/keywords/jellyfish |
| keywords[0].score | 0.9346264600753784 |
| keywords[0].display_name | Jellyfish |
| keywords[1].id | https://openalex.org/keywords/extraction |
| keywords[1].score | 0.6261087656021118 |
| keywords[1].display_name | Extraction (chemistry) |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.6163336634635925 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/algorithm |
| keywords[3].score | 0.49596843123435974 |
| keywords[3].display_name | Algorithm |
| keywords[4].id | https://openalex.org/keywords/biology |
| keywords[4].score | 0.22242474555969238 |
| keywords[4].display_name | Biology |
| keywords[5].id | https://openalex.org/keywords/fishery |
| keywords[5].score | 0.13415038585662842 |
| keywords[5].display_name | Fishery |
| keywords[6].id | https://openalex.org/keywords/chemistry |
| keywords[6].score | 0.11681532859802246 |
| keywords[6].display_name | Chemistry |
| keywords[7].id | https://openalex.org/keywords/chromatography |
| keywords[7].score | 0.08398395776748657 |
| keywords[7].display_name | Chromatography |
| language | en |
| locations[0].id | doi:10.1038/s41598-024-75619-3 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S196734849 |
| locations[0].source.issn | 2045-2322 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2045-2322 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Scientific Reports |
| locations[0].source.host_organization | https://openalex.org/P4310319908 |
| locations[0].source.host_organization_name | Nature Portfolio |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319908, https://openalex.org/P4310319965 |
| locations[0].source.host_organization_lineage_names | Nature Portfolio, Springer Nature |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Scientific Reports |
| locations[0].landing_page_url | https://doi.org/10.1038/s41598-024-75619-3 |
| locations[1].id | pmid:39427060 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Scientific reports |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/39427060 |
| locations[2].id | pmh:oai:doaj.org/article:31e48cec4d794d5b8196ec22db99b9d3 |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Scientific Reports, Vol 14, Iss 1, Pp 1-46 (2024) |
| locations[2].landing_page_url | https://doaj.org/article/31e48cec4d794d5b8196ec22db99b9d3 |
| locations[3].id | pmh:oai:pubmedcentral.nih.gov:11490569 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S2764455111 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | PubMed Central |
| locations[3].source.host_organization | https://openalex.org/I1299303238 |
| locations[3].source.host_organization_name | National Institutes of Health |
| locations[3].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[3].license | other-oa |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/other-oa |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Sci Rep |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/11490569 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5030004900 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Adedayo M. Farayola |
| authorships[0].countries | ZA |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I24027795 |
| authorships[0].affiliations[0].raw_affiliation_string | University of Johannesburg, Johannesburg, South Africa |
| authorships[0].institutions[0].id | https://openalex.org/I24027795 |
| authorships[0].institutions[0].ror | https://ror.org/04z6c2n17 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I24027795 |
| authorships[0].institutions[0].country_code | ZA |
| authorships[0].institutions[0].display_name | University of Johannesburg |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Adedayo Farayola |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | University of Johannesburg, Johannesburg, South Africa |
| authorships[1].author.id | https://openalex.org/A5091303313 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-3455-9625 |
| authorships[1].author.display_name | Yanxia Sun |
| authorships[1].countries | ZA |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I24027795 |
| authorships[1].affiliations[0].raw_affiliation_string | University of Johannesburg, Johannesburg, South Africa |
| authorships[1].institutions[0].id | https://openalex.org/I24027795 |
| authorships[1].institutions[0].ror | https://ror.org/04z6c2n17 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I24027795 |
| authorships[1].institutions[0].country_code | ZA |
| authorships[1].institutions[0].display_name | University of Johannesburg |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Yanxia Sun |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | University of Johannesburg, Johannesburg, South Africa |
| authorships[2].author.id | https://openalex.org/A5072994996 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-5726-3096 |
| authorships[2].author.display_name | Ahmed Ali |
| authorships[2].countries | ZA |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I24027795 |
| authorships[2].affiliations[0].raw_affiliation_string | University of Johannesburg, Johannesburg, South Africa |
| authorships[2].institutions[0].id | https://openalex.org/I24027795 |
| authorships[2].institutions[0].ror | https://ror.org/04z6c2n17 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I24027795 |
| authorships[2].institutions[0].country_code | ZA |
| authorships[2].institutions[0].display_name | University of Johannesburg |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Ahmed Ali |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | University of Johannesburg, Johannesburg, South Africa |
| authorships[3].author.id | https://openalex.org/A5101931847 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-6719-6525 |
| authorships[3].author.display_name | Baseem Khan |
| authorships[3].countries | ET |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I193649603 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Electrical and Computer Engineering, Hawassa University, Hawassa, Ethiopia |
| authorships[3].institutions[0].id | https://openalex.org/I193649603 |
| authorships[3].institutions[0].ror | https://ror.org/04r15fz20 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I193649603 |
| authorships[3].institutions[0].country_code | ET |
| authorships[3].institutions[0].display_name | Hawassa University |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Baseem Khan |
| authorships[3].is_corresponding | True |
| authorships[3].raw_affiliation_strings | Department of Electrical and Computer Engineering, Hawassa University, Hawassa, Ethiopia |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1038/s41598-024-75619-3 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Application of improved Jellyfish search algorithm for 9-parameters cell extraction and GMPPT in PV systems |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10468 |
| primary_topic.field.id | https://openalex.org/fields/21 |
| primary_topic.field.display_name | Energy |
| primary_topic.score | 0.9995999932289124 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2105 |
| primary_topic.subfield.display_name | Renewable Energy, Sustainability and the Environment |
| primary_topic.display_name | Photovoltaic System Optimization Techniques |
| related_works | https://openalex.org/W4391375266, https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W1495501409, https://openalex.org/W4226377888, https://openalex.org/W2144833504, https://openalex.org/W4306893319, https://openalex.org/W4311965611, https://openalex.org/W4246426680, https://openalex.org/W973108520 |
| cited_by_count | 3 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 1 |
| locations_count | 4 |
| best_oa_location.id | doi:10.1038/s41598-024-75619-3 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S196734849 |
| best_oa_location.source.issn | 2045-2322 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2045-2322 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Scientific Reports |
| best_oa_location.source.host_organization | https://openalex.org/P4310319908 |
| best_oa_location.source.host_organization_name | Nature Portfolio |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319908, https://openalex.org/P4310319965 |
| best_oa_location.source.host_organization_lineage_names | Nature Portfolio, Springer Nature |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Scientific Reports |
| best_oa_location.landing_page_url | https://doi.org/10.1038/s41598-024-75619-3 |
| primary_location.id | doi:10.1038/s41598-024-75619-3 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S196734849 |
| primary_location.source.issn | 2045-2322 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2045-2322 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Scientific Reports |
| primary_location.source.host_organization | https://openalex.org/P4310319908 |
| primary_location.source.host_organization_name | Nature Portfolio |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319908, https://openalex.org/P4310319965 |
| primary_location.source.host_organization_lineage_names | Nature Portfolio, Springer Nature |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Scientific Reports |
| primary_location.landing_page_url | https://doi.org/10.1038/s41598-024-75619-3 |
| publication_date | 2024-10-19 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W2909324897, https://openalex.org/W4283745597, https://openalex.org/W2778455075, https://openalex.org/W4249431320, https://openalex.org/W4224256767, https://openalex.org/W4280500442, https://openalex.org/W4302425296, https://openalex.org/W4313498974, https://openalex.org/W4308522213, https://openalex.org/W4283160126, https://openalex.org/W2755104409, https://openalex.org/W4224437642, https://openalex.org/W2805445561, https://openalex.org/W4286685358, https://openalex.org/W2499471942, https://openalex.org/W2612021631, https://openalex.org/W3007993740, https://openalex.org/W2789406035, https://openalex.org/W2900416547, https://openalex.org/W3109821886, https://openalex.org/W4285387690, https://openalex.org/W3136621287, https://openalex.org/W2899901418, https://openalex.org/W2904830816, https://openalex.org/W3130633973, https://openalex.org/W3215848460, https://openalex.org/W3000127137, https://openalex.org/W3109104200, https://openalex.org/W4290043235, https://openalex.org/W4308258723, https://openalex.org/W4317619535, https://openalex.org/W3188218928, https://openalex.org/W4293071695, https://openalex.org/W3190323855, https://openalex.org/W4283646759, https://openalex.org/W2919979744, https://openalex.org/W3127206013, https://openalex.org/W4206114999, https://openalex.org/W3039665270, https://openalex.org/W4289133922, https://openalex.org/W3194522877, https://openalex.org/W2791899797, https://openalex.org/W2936908223, https://openalex.org/W4309985316, https://openalex.org/W2954366169, https://openalex.org/W2560355274, https://openalex.org/W3048311949, https://openalex.org/W4308888302, https://openalex.org/W4224280865, https://openalex.org/W3183755163, https://openalex.org/W4289315676, https://openalex.org/W3144726762, https://openalex.org/W3208337300, https://openalex.org/W4210919648, https://openalex.org/W3157939731, https://openalex.org/W4224991173, https://openalex.org/W4282823319 |
| referenced_works_count | 57 |
| abstract_inverted_index.a | 119, 126, 144, 155, 184, 258 |
| abstract_inverted_index.In | 15 |
| abstract_inverted_index.PV | 85, 205, 232, 266 |
| abstract_inverted_index.To | 148, 191 |
| abstract_inverted_index.by | 97 |
| abstract_inverted_index.in | 65, 204, 268 |
| abstract_inverted_index.is | 94, 118, 137 |
| abstract_inverted_index.it | 257 |
| abstract_inverted_index.of | 18, 58, 90, 108, 129, 158, 167, 195 |
| abstract_inverted_index.or | 12, 52 |
| abstract_inverted_index.to | 6, 28, 37, 62, 69, 80, 124, 139, 182 |
| abstract_inverted_index.JSO | 136, 160, 168 |
| abstract_inverted_index.The | 112, 238 |
| abstract_inverted_index.and | 36, 102, 105, 142, 189, 227, 250 |
| abstract_inverted_index.are | 2 |
| abstract_inverted_index.for | 261 |
| abstract_inverted_index.get | 63 |
| abstract_inverted_index.its | 133 |
| abstract_inverted_index.the | 16, 39, 71, 88, 98, 159, 164, 170, 175, 193, 196, 242 |
| abstract_inverted_index.(PV) | 20 |
| abstract_inverted_index.IJSO | 244 |
| abstract_inverted_index.This | 77, 179 |
| abstract_inverted_index.aims | 181 |
| abstract_inverted_index.been | 26 |
| abstract_inverted_index.cell | 31, 92, 220, 225 |
| abstract_inverted_index.from | 84, 174, 231, 265 |
| abstract_inverted_index.have | 25 |
| abstract_inverted_index.many | 57, 109 |
| abstract_inverted_index.tend | 61 |
| abstract_inverted_index.test | 217 |
| abstract_inverted_index.that | 241 |
| abstract_inverted_index.this | 152 |
| abstract_inverted_index.used | 5 |
| abstract_inverted_index.were | 209 |
| abstract_inverted_index.wide | 127 |
| abstract_inverted_index.with | 169, 215 |
| abstract_inverted_index.(JSO) | 116 |
| abstract_inverted_index.(MPP) | 43 |
| abstract_inverted_index.Lévy | 171 |
| abstract_inverted_index.These | 211 |
| abstract_inverted_index.cells | 267 |
| abstract_inverted_index.leads | 79 |
| abstract_inverted_index.local | 66 |
| abstract_inverted_index.often | 95 |
| abstract_inverted_index.paper | 153 |
| abstract_inverted_index.point | 42, 75, 254 |
| abstract_inverted_index.power | 41, 74, 253 |
| abstract_inverted_index.prone | 138 |
| abstract_inverted_index.range | 128 |
| abstract_inverted_index.solar | 30, 91, 224 |
| abstract_inverted_index.these | 59, 150 |
| abstract_inverted_index.time. | 147 |
| abstract_inverted_index.tools | 4 |
| abstract_inverted_index.under | 48, 234 |
| abstract_inverted_index.using | 33, 44, 222 |
| abstract_inverted_index.which | 162 |
| abstract_inverted_index.(IJSO) | 202 |
| abstract_inverted_index.Search | 114, 200 |
| abstract_inverted_index.better | 185 |
| abstract_inverted_index.cells. | 86 |
| abstract_inverted_index.cuckoo | 176 |
| abstract_inverted_index.during | 53 |
| abstract_inverted_index.energy | 82, 229, 263 |
| abstract_inverted_index.flight | 172 |
| abstract_inverted_index.global | 72, 251 |
| abstract_inverted_index.locate | 70 |
| abstract_inverted_index.longer | 145 |
| abstract_inverted_index.losses | 83 |
| abstract_inverted_index.making | 256 |
| abstract_inverted_index.method | 122 |
| abstract_inverted_index.output | 230 |
| abstract_inverted_index.random | 99 |
| abstract_inverted_index.search | 100, 177 |
| abstract_inverted_index.tackle | 125 |
| abstract_inverted_index.Despite | 132 |
| abstract_inverted_index.achieve | 183 |
| abstract_inverted_index.address | 7, 149 |
| abstract_inverted_index.balance | 186 |
| abstract_inverted_index.between | 187 |
| abstract_inverted_index.complex | 216 |
| abstract_inverted_index.context | 17 |
| abstract_inverted_index.design, | 135 |
| abstract_inverted_index.dynamic | 269 |
| abstract_inverted_index.extract | 29 |
| abstract_inverted_index.failing | 68 |
| abstract_inverted_index.maximum | 40, 73, 252 |
| abstract_inverted_index.minima, | 67 |
| abstract_inverted_index.models, | 226 |
| abstract_inverted_index.partial | 49 |
| abstract_inverted_index.rapidly | 54 |
| abstract_inverted_index.recent, | 120 |
| abstract_inverted_index.results | 239 |
| abstract_inverted_index.shading | 50 |
| abstract_inverted_index.systems | 233 |
| abstract_inverted_index.through | 10 |
| abstract_inverted_index.trapped | 64 |
| abstract_inverted_index.various | 22, 223 |
| abstract_inverted_index.version | 157 |
| abstract_inverted_index.(GMPPT). | 76 |
| abstract_inverted_index.However, | 47 |
| abstract_inverted_index.Improved | 198 |
| abstract_inverted_index.behavior | 101 |
| abstract_inverted_index.changing | 55 |
| abstract_inverted_index.employed | 27 |
| abstract_inverted_index.enhances | 247 |
| abstract_inverted_index.exhibits | 143 |
| abstract_inverted_index.existing | 110 |
| abstract_inverted_index.features | 166 |
| abstract_inverted_index.identify | 38 |
| abstract_inverted_index.included | 213 |
| abstract_inverted_index.modified | 156 |
| abstract_inverted_index.problems | 9 |
| abstract_inverted_index.proposed | 197, 243 |
| abstract_inverted_index.proposes | 154 |
| abstract_inverted_index.solution | 260 |
| abstract_inverted_index.systems, | 21, 206 |
| abstract_inverted_index.validate | 192 |
| abstract_inverted_index.Jellyfish | 113, 199 |
| abstract_inverted_index.algorithm | 117, 203, 245 |
| abstract_inverted_index.developed | 123 |
| abstract_inverted_index.different | 235 |
| abstract_inverted_index.essential | 3 |
| abstract_inverted_index.extensive | 207 |
| abstract_inverted_index.parameter | 248 |
| abstract_inverted_index.premature | 140 |
| abstract_inverted_index.problems. | 131 |
| abstract_inverted_index.promising | 259 |
| abstract_inverted_index.tracking, | 255 |
| abstract_inverted_index.Similarly, | 87 |
| abstract_inverted_index.algorithm, | 161 |
| abstract_inverted_index.algorithm. | 178 |
| abstract_inverted_index.algorithms | 1, 24, 60 |
| abstract_inverted_index.conditions | 51 |
| abstract_inverted_index.conducted. | 210 |
| abstract_inverted_index.extracting | 219 |
| abstract_inverted_index.extraction | 89, 249, 264 |
| abstract_inverted_index.functions, | 218 |
| abstract_inverted_index.inadequate | 103 |
| abstract_inverted_index.innovative | 134 |
| abstract_inverted_index.integrates | 163 |
| abstract_inverted_index.maximizing | 228 |
| abstract_inverted_index.optimizing | 262 |
| abstract_inverted_index.parameters | 32, 93, 221 |
| abstract_inverted_index.processes. | 14 |
| abstract_inverted_index.real-world | 8 |
| abstract_inverted_index.algorithms. | 111 |
| abstract_inverted_index.approaches. | 46 |
| abstract_inverted_index.combination | 180 |
| abstract_inverted_index.compromised | 96 |
| abstract_inverted_index.conditions. | 237, 270 |
| abstract_inverted_index.convergence | 141, 146 |
| abstract_inverted_index.demonstrate | 240 |
| abstract_inverted_index.effectively | 246 |
| abstract_inverted_index.experiments | 208, 212 |
| abstract_inverted_index.exploration | 104, 188 |
| abstract_inverted_index.irradiance, | 56 |
| abstract_inverted_index.shortcoming | 78 |
| abstract_inverted_index.significant | 81 |
| abstract_inverted_index.techniques, | 35 |
| abstract_inverted_index.Optimization | 0, 115, 201 |
| abstract_inverted_index.benchmarking | 214 |
| abstract_inverted_index.capabilities | 107 |
| abstract_inverted_index.exploitation | 106 |
| abstract_inverted_index.limitations, | 151 |
| abstract_inverted_index.maximization | 13, 45 |
| abstract_inverted_index.minimization | 11, 34 |
| abstract_inverted_index.optimization | 23, 130 |
| abstract_inverted_index.photovoltaic | 19 |
| abstract_inverted_index.effectiveness | 194 |
| abstract_inverted_index.environmental | 236 |
| abstract_inverted_index.exploitation. | 190 |
| abstract_inverted_index.characteristic | 173 |
| abstract_inverted_index.parameter-free | 121 |
| abstract_inverted_index.state-of-the-art | 165 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5101931847 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I193649603 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.5299999713897705 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.55917625 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |