Vishnu Suresh
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View article: A Comparative Study of Machine Learning Models for PV Energy Prediction in an Energy Community
A Comparative Study of Machine Learning Models for PV Energy Prediction in an Energy Community Open
Energy communities have recently gained significant attention as local entities that empower neighborhoods to contribute actively to the clean energy transition by adopting solar energy. However, the variability of weather conditions makes…
View article: Benchmarking Transformer Variants for Hour-Ahead PV Forecasting: PatchTST with Adaptive Conformal Inference
Benchmarking Transformer Variants for Hour-Ahead PV Forecasting: PatchTST with Adaptive Conformal Inference Open
Accurate hour-ahead photovoltaic (PV) forecasts are essential for grid balancing, intraday trading, and renewable integration. While Transformer architectures have recently reshaped time series forecasting, their application to short-term …
View article: High-power readout of a transmon qubit using a nonlinear coupling
High-power readout of a transmon qubit using a nonlinear coupling Open
The field of superconducting qubits is constantly evolving with new circuit designs. However, when it comes to qubit readout, the use of simple transverse linear coupling remains overwhelmingly prevalent. This standard readout scheme has s…
View article: PV Generation Prediction Using Multilayer Perceptron and Data Clustering for Energy Management Support
PV Generation Prediction Using Multilayer Perceptron and Data Clustering for Energy Management Support Open
Accurate PV power generation forecasting is critical to enable grid utilities to manage energy effectively. This study presents an approach that combines machine learning with a clustering methodology to improve the accuracy of predictions…
View article: A Deep Learning Model Using Transformer Network and Expert Optimizer for an Hour Ahead Wind Power Forecasting
A Deep Learning Model Using Transformer Network and Expert Optimizer for an Hour Ahead Wind Power Forecasting Open
The renewable energy platform cannot operate without an accurate wind power forecast. The power system can better manage its supply and guarantee grid reliability with an accurate wind power forecast. Accurate forecasting is difficult to a…
View article: Flood stress and its effects on fruit crops: A critical review
Flood stress and its effects on fruit crops: A critical review Open
Growth, development, yield, and even normal functioning of the tropical and subtropical fruit crops are affected by flood stress due to unpredictable climate change. Flooding-induced anerobic respiration affects the cell integrity by the e…
View article: Using Bifluxon Tunneling to Protect the Fluxonium Qubit
Using Bifluxon Tunneling to Protect the Fluxonium Qubit Open
Encoding quantum information in quantum states with disjoint wave-function support and noise-insensitive energies is the key behind the idea of qubit protection. While fully protected qubits are expected to offer exponential protection aga…
View article: Optimal Capacity and Charging Scheduling of Battery Storage through Forecasting of Photovoltaic Power Production and Electric Vehicle Charging Demand with Deep Learning Models
Optimal Capacity and Charging Scheduling of Battery Storage through Forecasting of Photovoltaic Power Production and Electric Vehicle Charging Demand with Deep Learning Models Open
The transition from internal combustion engine vehicles to electric vehicles (EVs) is gaining momentum due to their significant environmental and economic benefits. This study addresses the challenges of integrating renewable energy source…
View article: Power Quality Gain of Self-Lift Luo Converter used for Hybrid Renewable Power System with Battery Grid Integration
Power Quality Gain of Self-Lift Luo Converter used for Hybrid Renewable Power System with Battery Grid Integration Open
The renewable power sources such as wind as well as photovoltaic (PV) energy are fashionable for residential and commercial applications. For the reason, that eco friendlessness plus expenditure are effective. This paper intends a Self-Lif…
View article: Smart Management of Energy Storage in Microgrid: Adapting the Control Algorithm to Specific Industrial Facility Conditions
Smart Management of Energy Storage in Microgrid: Adapting the Control Algorithm to Specific Industrial Facility Conditions Open
The article introduces a method for optimizing energy storage system scheduling in industrial microgrids. It employs a PSO-based heuristic algorithm using daily generation and load forecasts. The objective is economic optimization, minimiz…
View article: Load Forecasting for the Laser Metal Processing Industry Using VMD and Hybrid Deep Learning Models
Load Forecasting for the Laser Metal Processing Industry Using VMD and Hybrid Deep Learning Models Open
Electric load forecasting is crucial for the metallurgy industry because it enables effective resource allocation, production scheduling, and optimized energy management. To achieve an accurate load forecasting, it is essential to develop …
View article: Multistep Forecasting of Power Flow Based on LSTM Autoencoder: A Study Case in Regional Grid Cluster Proposal
Multistep Forecasting of Power Flow Based on LSTM Autoencoder: A Study Case in Regional Grid Cluster Proposal Open
A regional grid cluster proposal is required to tackle power grid complexities and evaluate the impact of decentralized renewable energy generation. However, implementing regional grid clusters poses challenges in power flow forecasting ow…
View article: CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of the High-Voltage Subnet of Northeast Germany
CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of the High-Voltage Subnet of Northeast Germany Open
The massive installation of renewable energy sources together with energy storage in the power grid can lead to fluctuating energy consumption when there is a bi-directional power flow due to the surplus of electricity generation. To ensur…
View article: Intelligent Fault Detection in Hall-Effect Rotary Encoders for Industry 4.0 Applications
Intelligent Fault Detection in Hall-Effect Rotary Encoders for Industry 4.0 Applications Open
Sensors are the foundational components of any smart machine system and are invaluable in all modern technologies. Consequently, faults and errors in sensors can have a significant negative impact on the setup. Intelligent, lightweight, an…
View article: Analyzing the Electronics of Image Sensors and Their Functionality to Develop Low Light-Emitting Source Image
Analyzing the Electronics of Image Sensors and Their Functionality to Develop Low Light-Emitting Source Image Open
Bioluminescence imaging has been used to visualize the biological effects of human beings and is a promising technique in a recent modality. In this study, the digital image technique is used to improve quality and recover images. The opti…
View article: Optimal Operation of an Integrated Hybrid Renewable Energy System with Demand-Side Management in a Rural Context
Optimal Operation of an Integrated Hybrid Renewable Energy System with Demand-Side Management in a Rural Context Open
A significant portion of the Indian population lives in villages, some of which are located in grid-disconnected remote areas. The supply of electricity to these villages is not feasible or cost-effective, but an autonomous integrated hybr…
View article: Decreasing the Battery Recharge Time if Using a Fuzzy Based Power Management Loop for an Isolated Micro-Grid Farm
Decreasing the Battery Recharge Time if Using a Fuzzy Based Power Management Loop for an Isolated Micro-Grid Farm Open
An isolated micro-grid has different requirements from the traditional power grids. Several energy sources may be linked for the purpose of sharing load demand without being linked to the grid. The isolated micro-grid is made up of at leas…
View article: Probabilistic LSTM-Autoencoder Based Hour-Ahead Solar Power Forecasting Model for Intra-Day Electricity Market Participation: A Polish Case Study
Probabilistic LSTM-Autoencoder Based Hour-Ahead Solar Power Forecasting Model for Intra-Day Electricity Market Participation: A Polish Case Study Open
This article presents the selection of an appropriate deep learning Long Short-Term Memory (LSTM) based probabilistic hour-ahead forecasting model for a grid connected industrial solar PV power plant located in Poland. It has a 317 kW peak…
View article: Political-Optimizer-Based Energy-Management System for Microgrids
Political-Optimizer-Based Energy-Management System for Microgrids Open
This paper presents an energy-management strategy based on a recently introduced Political Optimizer (PO) for a microgrid installation at Wroclaw University of Science and Technology. The aim of the study is to check the effectiveness of t…
View article: Clustering Methods for Power Quality Measurements in Virtual Power Plant
Clustering Methods for Power Quality Measurements in Virtual Power Plant Open
In this article, a case study is presented on applying cluster analysis techniques to evaluate the level of power quality (PQ) parameters of a virtual power plant. The conducted research concerns the application of the K-means algorithm in…
View article: Off-Grid Rural Electrification in India Using Renewable Energy Resources and Different Battery Technologies with a Dynamic Differential Annealed Optimization
Off-Grid Rural Electrification in India Using Renewable Energy Resources and Different Battery Technologies with a Dynamic Differential Annealed Optimization Open
Several families in India live in remote places with no access to grid-connected power supply due to their remoteness. The study area chosen from the Indian state of Odisha does not have an electrical power supply due to its distant locati…
View article: Energy savings approach to optimal location of EV charging stations in microgrids
Energy savings approach to optimal location of EV charging stations in microgrids Open
This paper presents an analytical approach to finding an optimal location for an EV charging station based on energy savings in a local microgrid. The analysis is carried out on days obtained by clustering yearly load data and by running a…
View article: Research on hybrid modified pathfinder algorithm for optimal reactive power dispatch
Research on hybrid modified pathfinder algorithm for optimal reactive power dispatch Open
Hybridization of meta-heuristic algorithms plays a major role in the optimization problem. In this paper, a new hybrid meta-heuristic algorithm called hybrid pathfinder algorithm (HPFA) is proposed to solve the optimal reactive power dispa…
View article: Impact of Harmonic Currents of Nonlinear Loads on Power Quality of a Low Voltage Network–Review and Case Study
Impact of Harmonic Currents of Nonlinear Loads on Power Quality of a Low Voltage Network–Review and Case Study Open
The paper presents a power-quality analysis in the utility low-voltage network focusing on harmonic currents’ pollution. Usually, to forecast the modern electrical and electronic devices’ contribution to increasing the current total harmon…
View article: Power Flow Management in Hybrid Renewable Sources
Power Flow Management in Hybrid Renewable Sources Open
The aim of this paper is to manage the power flow in hybrid renewable energy sources in efficient manner. In this there will be two renewable energy sources, battery, load and grid. In this system the bidirectional buck boost converter is …
View article: A Case Study on Data Mining Application in a Virtual Power Plant: Cluster Analysis of Power Quality Measurements
A Case Study on Data Mining Application in a Virtual Power Plant: Cluster Analysis of Power Quality Measurements Open
One of the recent trends that concern renewable energy sources and energy storage systems is the concept of virtual power plants (VPP). The majority of research now focuses on analyzing case studies of VPP in different issues. This article…