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Short-term photovoltaic solar power forecasting using a hybrid Wavelet-PSO-SVM model based on SCADA and Meteorological information

Renewable energy, 2018-04, Vol.118, p.357-367

2018

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Short-Term Forecasting of Heat Demand of Buildings for Efficient and Optimal Energy Management Based on Integrated Machine Learning Models

IEEE transactions on industrial informatics, 2020-12, Vol.16 (12), p.7743-7755

2020

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Curriculum-Based Reinforcement Learning for Distribution System Critical Load Restoration

IEEE transactions on power systems, 2023-09, Vol.38 (5), p.4418-4431

2023

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Optimal energy management for industrial microgrids with high-penetration renewables

Protection and control of modern power systems, 2017-04, Vol.2 (1), p.1-14, Article 12

2017

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Machine Learning Based Integrated Feature Selection Approach for Improved Electricity Demand Forecasting in Decentralized Energy Systems

IEEE access, 2019, Vol.7, p.91463-91475

2019

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Optimal Energy Trading for Renewable Energy Integrated Building Microgrids Containing Electric Vehicles and Energy Storage Batteries

IEEE access, 2019, Vol.7, p.106092-106101

2019

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Day-Ahead Wind Power Forecasting Using a Two-Stage Hybrid Modeling Approach Based on SCADA and Meteorological Information, and Evaluating the Impact of Input-Data Dependency on Forecasting Accuracy

Energies (Basel), 2017-12, Vol.10 (12), p.1988

2017

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Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration

2023 IEEE Power & Energy Society General Meeting (PESGM), 2023, p.1-1

2023

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Short-term wind power forecasting using a double-stage hierarchical ANFIS approach for energy management in microgrids

Protection and control of modern power systems, 2017, Vol.2 (1), p.1-10, Article 13

2017

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Adaptive Predictor Subset Selection Strategy for Enhanced Forecasting of Distributed PV Power Generation

IEEE access, 2019, Vol.7, p.90652-90665

2019

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Dynamic Economic Scheduling Strategy for a Stand-alone Microgrid System Containing Wind, PV Solar, Diesel Generator, Fuel Cell and Energy Storage:- A Case Study

IOP conference series. Earth and environmental science, 2018-06, Vol.168 (1), p.12006

2018

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Study on business models of distributed generation in China

Global Energy Interconnection, 2018-04, Vol.1 (2), p.162-171

2018

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Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration

IEEE transactions on power systems, 2022-09, Vol.38 (5)

2022

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A Communication-Supported Comprehensive Protection Strategy for Converter-Interfaced Islanded Microgrids

Sustainability, 2018-05, Vol.10 (5), p.1335

2018

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Scalable Predictive Control and Optimization for Grid Integration of Large-scale Distributed Energy Resources

2022 IEEE Power & Energy Society General Meeting (PESGM), 2022, p.01-05

2022

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A Hybrid Reinforcement Learning-MPC Approach for Distribution System Critical Load Restoration

2022 IEEE Power & Energy Society General Meeting (PESGM), 2022, p.1-5

2022

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Short-term Forecasting of Electricity Consumption in Buildings for Efficient and Optimal Distributed Energy Management

2019 IEEE 17th International Conference on Industrial Informatics (INDIN), 2019, Vol.1, p.1103-1110

2019

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Restoring Critical Loads In Resilient Distribution Systems using A Curriculum Learned Controller

2021 IEEE Power & Energy Society General Meeting (PESGM), 2021, p.1-5

2021

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Day-ahead Prediction of Building District Heat Demand for Smart Energy Management and Automation in Decentralized Energy Systems

2019 IEEE 17th International Conference on Industrial Informatics (INDIN), 2019, Vol.1, p.1694-1699

2019

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Enhancing Distribution Grid Resilience Through Model Predictive Controller Enabled Prioritized Load Restoration Strategy

2020 52nd North American Power Symposium (NAPS), 2021, p.1-6

2021

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Optimal energy management strategy for an isolated industrial microgrid using a Modified Particle Swarm Optimization

2016 IEEE International Conference on Power and Renewable Energy (ICPRE), 2016, p.494-498

2016

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Restoring Distribution System Under Renewable Uncertainty Using Reinforcement Learning

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2020, p.1-6

2020

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Resilient Operation of Power Distribution Systems Using MPC-based Critical Service Restoration

2021 IEEE Green Technologies Conference (GreenTech), 2021, p.292-297

2021

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Grid-Price Dependent Optimal Energy Storage Management Strategy for Grid-Connected Industrial Microgrids

2017 Ninth Annual IEEE Green Technologies Conference (GreenTech), 2017, p.124-131

2017

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Efficient Feature Selection Strategy for Accurate Electricity Demand Forecasting

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 2019, p.1-5

2019

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Short-term photovoltaic solar power forecasting using a hybrid Wavelet-PSO-SVM model based on SCADA and Meteorological information

Short-Term Forecasting of Heat Demand of Buildings for Efficient and Optimal Energy Management Based on Integrated Machine Learning Models

Curriculum-Based Reinforcement Learning for Distribution System Critical Load Restoration

Optimal energy management for industrial microgrids with high-penetration renewables

Machine Learning Based Integrated Feature Selection Approach for Improved Electricity Demand Forecasting in Decentralized Energy Systems

Optimal Energy Trading for Renewable Energy Integrated Building Microgrids Containing Electric Vehicles and Energy Storage Batteries

Day-Ahead Wind Power Forecasting Using a Two-Stage Hybrid Modeling Approach Based on SCADA and Meteorological Information, and Evaluating the Impact of Input-Data Dependency on Forecasting Accuracy

Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration

Short-term wind power forecasting using a double-stage hierarchical ANFIS approach for energy management in microgrids

Adaptive Predictor Subset Selection Strategy for Enhanced Forecasting of Distributed PV Power Generation

Dynamic Economic Scheduling Strategy for a Stand-alone Microgrid System Containing Wind, PV Solar, Diesel Generator, Fuel Cell and Energy Storage:- A Case Study

Study on business models of distributed generation in China

Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration

A Communication-Supported Comprehensive Protection Strategy for Converter-Interfaced Islanded Microgrids

Scalable Predictive Control and Optimization for Grid Integration of Large-scale Distributed Energy Resources

A Hybrid Reinforcement Learning-MPC Approach for Distribution System Critical Load Restoration

Short-term Forecasting of Electricity Consumption in Buildings for Efficient and Optimal Distributed Energy Management

Restoring Critical Loads In Resilient Distribution Systems using A Curriculum Learned Controller

Day-ahead Prediction of Building District Heat Demand for Smart Energy Management and Automation in Decentralized Energy Systems

Enhancing Distribution Grid Resilience Through Model Predictive Controller Enabled Prioritized Load Restoration Strategy

Optimal energy management strategy for an isolated industrial microgrid using a Modified Particle Swarm Optimization

Restoring Distribution System Under Renewable Uncertainty Using Reinforcement Learning

Resilient Operation of Power Distribution Systems Using MPC-based Critical Service Restoration

Grid-Price Dependent Optimal Energy Storage Management Strategy for Grid-Connected Industrial Microgrids

Efficient Feature Selection Strategy for Accurate Electricity Demand Forecasting

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