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View article: Adaptive Energy Management System for Green and Reliable Telecommunication Base Stations
Adaptive Energy Management System for Green and Reliable Telecommunication Base Stations Open
Telecommunication Base Transceiver Stations (BTSs) require a resilient and sustainable power supply to ensure uninterrupted operation, particularly during grid outages. Thus, this paper proposes an Adaptive Model Predictive Control (AMPC)-…
View article: Where Can Solar Go? Assessing Land Availability for PV in Italy Under Regulatory Constraints
Where Can Solar Go? Assessing Land Availability for PV in Italy Under Regulatory Constraints Open
The expansion of solar photovoltaic (PV) energy is a central pillar of Italy’s climate and energy transition strategy. However, the actual availability of land for PV deployment is heavily influenced by a complex regulatory framework that …
View article: Effective Customization of Evolutionary Algorithm-Based Energy Management System Optimization for Improved Battery Management in Microgrids
Effective Customization of Evolutionary Algorithm-Based Energy Management System Optimization for Improved Battery Management in Microgrids Open
The growing penetration of renewable energy sources into electricity grids, along with the problems linked to the electrification of rural areas, has drawn more attention to the development of microgrids. Their Energy Management Systems (E…
View article: Optimizing agrivoltaic systems: A comprehensive analysis of design, crop productivity and energy performance in open-field configurations
Optimizing agrivoltaic systems: A comprehensive analysis of design, crop productivity and energy performance in open-field configurations Open
The rapid expansion of photovoltaic (PV) systems is essential for decarbonizing energy systems but raises concerns about competing with agriculture for arable land. Agrivoltaic (APV) systems offer a sustainable solution by integrating PV i…
View article: Quantifying the Economic Advantages of Energy Management Systems for Domestic Prosumers with Electric Vehicles
Quantifying the Economic Advantages of Energy Management Systems for Domestic Prosumers with Electric Vehicles Open
The increasing adoption of intermittent renewable energy sources and electric vehicles in households necessitates effective energy management systems (EMS) in the residential sector. This study quantifies the economic benefits of using a s…
View article: Network Resilience and Sustainability: Renewable Energy-Based Solutions
Network Resilience and Sustainability: Renewable Energy-Based Solutions Open
With the increase in popularity of mobile services, radio access network (RAN) sustainability and resilience to power outages are becoming primary challenges. This article proposes to use power supply solutions based on renewable energy so…
View article: Performance Evaluation of Half-Cut PV Market Modules in Outdoor Conditions
Performance Evaluation of Half-Cut PV Market Modules in Outdoor Conditions Open
Photo Voltaic (PV) technology continues to advance, seeking to optimize efficiency and performance. Half-cut and back contact PV modules have emerged as a promising innovation, aiming to enhance energy yield and durability. This study pres…
View article: Design of an Embedded Test Bench for Organic Photovoltaic Module Testing
Design of an Embedded Test Bench for Organic Photovoltaic Module Testing Open
In this article, a multipurpose embedded system for testing organic photovoltaic modules is presented. It is designed to include all the features for real-time monitoring, data acquisition, and power conversion based on a Ćuk converter, pr…
View article: Impact of PV and EV Forecasting in the Operation of a Microgrid
Impact of PV and EV Forecasting in the Operation of a Microgrid Open
The electrification of the transport sector together with large renewable energy deployment requires powerful tools to efficiently use energy assets and infrastructure. In this framework, the forecast of electric vehicle demand and solar p…
View article: Comparative study of machine learning techniques for the state of health estimation of Li-Ion batteries
Comparative study of machine learning techniques for the state of health estimation of Li-Ion batteries Open
Lithium-Ion batteries play a crucial role in vehicle electrification to meet the goals of reducing fossil fuels. However, they deteriorate over time and it is thus needed to predict their rate of decay since, after a certain threshold, the…
View article: Outdoor Performance Comparison of Bifacial and Monofacial Photovoltaic Modules in Temperate Climate and Industrial-like Rooftops
Outdoor Performance Comparison of Bifacial and Monofacial Photovoltaic Modules in Temperate Climate and Industrial-like Rooftops Open
To fully exploit the advantages of bifacial PV (bPV) modules and understand their performance under real-world conditions, a comprehensive investigation was conducted. It was focused on bPV installations with some mounting constraints, as …
View article: Impact of temporal resolution on the design and reliability of residential energy systems
Impact of temporal resolution on the design and reliability of residential energy systems Open
Future energy systems incorporating high shares of intermittent renewable energy sources are often designed using optimization-based, bottom-up energy system models. However, such models are generally limited to single years and hourly res…
View article: A Case Study of a Tiny Machine Learning Application for Battery State-of-Charge Estimation
A Case Study of a Tiny Machine Learning Application for Battery State-of-Charge Estimation Open
Growing battery use in energy storage and automotive industries demands advanced Battery Management Systems (BMSs) to estimate key parameters like the State of Charge (SoC) which are not directly measurable using standard sensors. Conseque…
View article: Electric Vehicle Supply Equipment Day-Ahead Power Forecast Based on Deep Learning and the Attention Mechanism
Electric Vehicle Supply Equipment Day-Ahead Power Forecast Based on Deep Learning and the Attention Mechanism Open
Transports is one of the sectors that produce thehighest emissions of CO2; in the last ten years, there has beena process of decarbonization which has led to a considerableincrease in Electric Vehicles (EVs). However, the sudden intro-duct…
View article: Impact of Sub-Hourly Resolution on the Design and Reliability of Residential Energy System Models
Impact of Sub-Hourly Resolution on the Design and Reliability of Residential Energy System Models Open
Energy system optimization has become an indispensable tool for planning the energy transition. However, model accuracy has traditionally been limited to hourly resolution due to data availability and computational complexity. This study q…
View article: Time-dependent photovoltaic performance assessment on a global scale using artificial neural networks
Time-dependent photovoltaic performance assessment on a global scale using artificial neural networks Open
The integration of Renewable Energy Sources (RESs), particularly solar PhotoVoltaics (PVs) has become an imperative aspect of sustainable energy systems. In this pursuit, accurate and efficient simulation tools play a pivotal role in optim…
View article: Deep Learning-Based Predictive Control for Optimal Battery Management in Microgrids
Deep Learning-Based Predictive Control for Optimal Battery Management in Microgrids Open
Effective microgrid management necessitates sophisticated strategies to optimally balance grid components and minimize power exchanges with the main grid. Central to this challenge is the energy storage system, typically comprised of lithi…
View article: Joint State of Charge and State of Health Estimation Using Bidirectional LSTM and Bayesian Hyperparameter Optimization
Joint State of Charge and State of Health Estimation Using Bidirectional LSTM and Bayesian Hyperparameter Optimization Open
In this study, a novel Machine learning-based method for the joint State of Charge and State of Health estimation of Lithium Batteries that tackle real-world applications and with Bayesian Hyperparameter optimization is proposed. The estim…