The unprecedented proliferation of electric vehicles is envisioned to revolutionize the
Intelligent Transportation System as an energy-efficient and environment-friendly alternative …

Energy consumption prediction has always remained a concern for researchers because of
the rapid growth of the human population and customers joining smart grids network for …

Recently, various distributed energy resources are significantly integrated into the modern
power systems. This introduction of distributed energy resource‐rich systems can cause …

The primary objective of implementing a demand response (DR) program is to actively
involve participants in maximizing social welfare by effectively reducing electricity demand …

Abstract An innovative decentralized Residential Demand Response (DR) program offers an
effective solution for efficient energy management to save cost for both the participants and …

This paper presents a Reinforcement Learning (RL) approach to a price-based Demand
Response (DR) program. The proposed framework manages a dynamic pricing scheme …

The rapid advancement of technologies related to economically viable energy resources,
energy storage methods, and innovative loads such as electric vehicles, combined with …

A novel residential demand response (DR) program is proposed to encourage microgrid
customers to participate in demand reduction using a house energy consumption scheduler …

With the advent of the Distributed Energy Resources within smart grid systems, traditional
demand response management (DRM) models need to be redesigned to capture …

A novel demand response program combines the advantages of price-based demand
response under the time-of-use pricing and the incentive-driven demand reduction bidding …