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Distributed Energy Resources and Electric Vehicle: Analysis and Optimisation of Network Operations

1, 2024

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Towards efficient model recommendation: An innovative hybrid graph neural network approach integrating multisignature analysis of electrical time series

e-Prime, 2024-06, Vol.8, p.100544, Article 100544

2024

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Mining latent patterns with multi-scale decomposition for electricity demand and price forecasting using modified deep graph convolutional neural networks

Sustainable Energy, Grids and Networks, 2024-09, Vol.39, p.101436, Article 101436

2024

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Hybrid LSTM-Graph Convolutional Neural Network with Wavelet Transform and Correlation Analysis for Electrical Demand Forecasting

SN computer science, 2024-04, Vol.5 (4), p.412, Article 412

2024

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Stochastic Economic Dispatch with Advanced Polynomial Chaos Expansion

IFAC-PapersOnLine, 2024, Vol.57, p.155-160

2024

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Load Uncertainty-Aware Economic Dispatch

2023 IEEE PES 15th Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2023, p.1-6

2023

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Statistical and Spectral Signature of Historical Electrical Demand Data

2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT), 2022, p.1-6

2022

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Day-Ahead Market Electricity Price Prediction using Time Series Forecasting

2022 1st International Conference on Sustainable Technology for Power and Energy Systems (STPES), 2022, p.1-6

2022

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A Comparative Analysis of Supervised Machine Learning Algorithms for Electricity Demand Forecasting

2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T), 2022, p.1-6

2022

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Feature Selection for Electrical Demand Forecasting and Analysis of Pearson Coefficient

2021 IEEE 4th International Electrical and Energy Conference (CIEEC), 2021, p.1-6

2021

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Comprehensive Study on Electric Vehicles: Integration with Renewable Energy, Charging Infrastructure, Model Variations, Regulatory Frameworks, and Assessing Operational Efficiency of Hybrid Electric Vehicles

Distributed Energy Resources and Electric Vehicle, 2024, p.69-88

1, 2024

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Big Data Analytical Techniques for Electrical Energy Forecasting in Smart Grid Paradigm

Applications of Big Data and Artificial Intelligence in Smart Energy Systems, 2023, Vol.1, p.101-126

1, 2023

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Model Predictive Control of Multiple Renewable Energy Sources in Hybrid DC Microgrids for Power Flow Control

Distributed Energy Resources and Electric Vehicle, 2024, p.180-201

1, 2024

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Analysis of an IUPQC Device Using Conventional PID and FOPID Controllers in a Wind Energy Conversion System

Distributed Energy Resources and Electric Vehicle, 2024, p.202-222

1, 2024

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Comprehensive Review of Grid Operation with Distributed Resources and Charging Stations for Electric Vehicles

Distributed Energy Resources and Electric Vehicle, 2024, p.1-23

1, 2024

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Electric Vehicle Charging Infrastructure: Optimal Location Problem Modeling Options and Solution Techniques

Distributed Energy Resources and Electric Vehicle, 2024, p.42-68

1, 2024

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A Comprehensive Study of Life Cycle Assessments of Electric Vehicles and IC Engine Vehicles

Distributed Energy Resources and Electric Vehicle, 2024, p.24-41

1, 2024

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Model Predictive Control of Grid-Connected Wind Energy Conversion System Using VSC-Based Shunt Controllers

Distributed Energy Resources and Electric Vehicle, 2024, p.158-179

1, 2024

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Allocation of Distribution System Losses Considering the Effects of Load Power Factor and Distributed Generation

Distributed Energy Resources and Electric Vehicle, 2024, p.241-261

1, 2024

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Review of Control Strategy with Different Loading Conditions Considering Demand Side Management

Distributed Energy Resources and Electric Vehicle, 2024, p.121-136

1, 2024

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Photovoltaic-Based Battery-Integrated E-Rickshaw with Regenerative Braking Using Real-Time Implementation

Distributed Energy Resources and Electric Vehicle, 2024, p.223-240

1, 2024

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Wireless Chargers for Electric Vehicles

Distributed Energy Resources and Electric Vehicle, 2024, p.89-120

1, 2024

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Coordinated Operation of Electric Vehicle Charging Stations (EVCS) and Distributed Power Generation in Grids Using AI Technology

Distributed Energy Resources and Electric Vehicle, 2024, p.137-157

1, 2024

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Foreword

Distributed Energy Resources and Electric Vehicle, 2024

2024

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Contributors

Distributed Energy Resources and Electric Vehicle, 2024

2024

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Distributed Energy Resources and Electric Vehicle: Analysis and Optimisation of Network Operations

Towards efficient model recommendation: An innovative hybrid graph neural network approach integrating multisignature analysis of electrical time series

Mining latent patterns with multi-scale decomposition for electricity demand and price forecasting using modified deep graph convolutional neural networks

Hybrid LSTM-Graph Convolutional Neural Network with Wavelet Transform and Correlation Analysis for Electrical Demand Forecasting

Stochastic Economic Dispatch with Advanced Polynomial Chaos Expansion

Load Uncertainty-Aware Economic Dispatch

Statistical and Spectral Signature of Historical Electrical Demand Data

Day-Ahead Market Electricity Price Prediction using Time Series Forecasting

A Comparative Analysis of Supervised Machine Learning Algorithms for Electricity Demand Forecasting

Feature Selection for Electrical Demand Forecasting and Analysis of Pearson Coefficient

Comprehensive Study on Electric Vehicles: Integration with Renewable Energy, Charging Infrastructure, Model Variations, Regulatory Frameworks, and Assessing Operational Efficiency of Hybrid Electric Vehicles

Big Data Analytical Techniques for Electrical Energy Forecasting in Smart Grid Paradigm

Model Predictive Control of Multiple Renewable Energy Sources in Hybrid DC Microgrids for Power Flow Control

Analysis of an IUPQC Device Using Conventional PID and FOPID Controllers in a Wind Energy Conversion System

Comprehensive Review of Grid Operation with Distributed Resources and Charging Stations for Electric Vehicles

Electric Vehicle Charging Infrastructure: Optimal Location Problem Modeling Options and Solution Techniques

A Comprehensive Study of Life Cycle Assessments of Electric Vehicles and IC Engine Vehicles

Model Predictive Control of Grid-Connected Wind Energy Conversion System Using VSC-Based Shunt Controllers

Allocation of Distribution System Losses Considering the Effects of Load Power Factor and Distributed Generation

Review of Control Strategy with Different Loading Conditions Considering Demand Side Management

Photovoltaic-Based Battery-Integrated E-Rickshaw with Regenerative Braking Using Real-Time Implementation

Wireless Chargers for Electric Vehicles

Coordinated Operation of Electric Vehicle Charging Stations (EVCS) and Distributed Power Generation in Grids Using AI Technology

Foreword

Contributors

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