Sayyad Nojavan received the B.Sc., M.Sc. and Ph.D. degrees in electrical power engineering from University of Tabriz, Tabriz, Iran, in 2010, 2012 and 2017, respectively. Also, he was a Postdoctoral Researcher from September 2017 to September 2018 in the Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. Currently, he is an Assistant Professor of Researcher in the Department of Electrical Engineering, University of Bonab, Bonab, Iran. His research areas include electricity market, distribution networks operation, power system operation and economics, hybrid energy system, retailer, microgrids, uncertainty modelling and risk management.Kazem Zare received the B.Sc. and M.Sc. degrees in electrical engineering from University of Tabriz, Tabriz, Iran, in 2000 and 2003, respectively, and Ph.D. degree from Tarbiat Modares University, Tehran, Iran, in 2009. Currently, he is an Associate Professor of the Faculty of Electrical and Computer Engineering, University of Tabriz. His research areas include electricity market, distribution networks operation and planning, power system economics, microgrid, uncertainty modelling and energy management.

• Concept and glossary of demand response programs.- Comprehensive modeling of demand response programs.- Linear and nonlinear modeling of demand response programs.- Modeling an improved demand response program in day-ahead and intra-day markets.- New Demand Response Platform with Machine Learning and Data Analytics.- Demand-side management programs of the international energy agency.-  Demand Response Application in Generation, Transmission and Distribution Expansion Planning.- Optimal Stochastic Planning of DERs in a Game Theory Framework Considering Demand Response and Pollution Issues.- Impact of Demand Response Program on Hybrid Renewable Energy Systems Planning.- Application of demand response program on dynamic planning of energy storage system allocation in distribution networks.- FACTS Device Allocation in the Presence of Demand Response Program.

Sayyad Nojavan received the B.Sc., M.Sc. and Ph.D. degrees in electrical power engineering from University of Tabriz, Tabriz, Iran, in 2010, 2012 and 2017, respectively. Also, he was a Postdoctoral Researcher from September 2017 to September 2018 in the Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. Currently, he is an Assistant Professor of Researcher in the Department of Electrical Engineering, University of Bonab, Bonab, Iran. His research areas include electricity market, distribution networks operation, power system operation and economics, hybrid energy system, retailer, microgrids, uncertainty modelling and risk management.Kazem Zare received the B.Sc. and M.Sc. degrees in electrical engineering from University of Tabriz, Tabriz, Iran, in 2000 and 2003, respectively, and Ph.D. degree from Tarbiat Modares University, Tehran, Iran, in 2009. Currently, he is an Associate Professor of the Faculty of Electrical and Computer Engineering, University of Tabriz. His research areas include electricity market, distribution networks operation and planning, power system economics, microgrid, uncertainty modelling and energy management.

• Concept and glossary of demand response programs.- Comprehensive modeling of demand response programs.- Linear and nonlinear modeling of demand response programs.- Modeling an improved demand response program in day-ahead and intra-day markets.- New Demand Response Platform with Machine Learning and Data Analytics.- Demand-side management programs of the international energy agency.-  Demand Response Application in Generation, Transmission and Distribution Expansion Planning.- Optimal Stochastic Planning of DERs in a Game Theory Framework Considering Demand Response and Pollution Issues.- Impact of Demand Response Program on Hybrid Renewable Energy Systems Planning.- Application of demand response program on dynamic planning of energy storage system allocation in distribution networks.- FACTS Device Allocation in the Presence of Demand Response Program.

Sayyad Nojavan received the B.Sc., M.Sc. and Ph.D. degrees in electrical power engineering from University of Tabriz, Tabriz, Iran, in 2010, 2012 and 2017, respectively. Also, he was a Postdoctoral Researcher from September 2017 to September 2018 in the Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. Currently, he is an Assistant Professor of Researcher in the Department of Electrical Engineering, University of Bonab, Bonab, Iran. His research areas include electricity market, distribution networks operation, power system operation and economics, hybrid energy system, retailer, microgrids, uncertainty modelling and risk management.Kazem Zare received the B.Sc. and M.Sc. degrees in electrical engineering from University of Tabriz, Tabriz, Iran, in 2000 and 2003, respectively, and Ph.D. degree from Tarbiat Modares University, Tehran, Iran, in 2009. Currently, he is an Associate Professor of the Faculty of Electrical and Computer Engineering, University of Tabriz. His research areas include electricity market, distribution networks operation and planning, power system economics, microgrid, uncertainty modelling and energy management.

• Concept and glossary of demand response programs.- Comprehensive modeling of demand response programs.- Linear and nonlinear modeling of demand response programs.- Modeling an improved demand response program in day-ahead and intra-day markets.- New Demand Response Platform with Machine Learning and Data Analytics.- Demand-side management programs of the international energy agency.-  Demand Response Application in Generation, Transmission and Distribution Expansion Planning.- Optimal Stochastic Planning of DERs in a Game Theory Framework Considering Demand Response and Pollution Issues.- Impact of Demand Response Program on Hybrid Renewable Energy Systems Planning.- Application of demand response program on dynamic planning of energy storage system allocation in distribution networks.- FACTS Device Allocation in the Presence of Demand Response Program.