The large-scale roll-out of smart meters allows the collection of a vast amount of fine-grained
electricity consumption data. Once analyzed, such data can enable cutting-edge data-driven …

Retail electricity markets require development to become transparently functioning, operate
in near real-time, permit the integration of smart technology, improve customer engagement …

In this chapter, a novel data-driven method, which is called the deep deterministic policy
gradient (DDPG), is applied for optimally controlling the multi-zone residential heating …

Residential loads, especially heating, ventilation and air conditioners (HVACs) and electric
vehicles (EVs), have great potentials to provide demand flexibility which is an attribute of …

The communication network development and rising penetration of prosumers in distribution
networks pave the way to emerge a fully decentralized energy transactions framework …

The sonar received signals may contain various artifacts such as noise, reverberation, and
clutter that affect the proper target recognition and classification capabilities of sonar …

Sustainable energy resource implementation has several advantages in terms of energy
efficiency, reliability, and resilience. However, there are still challenges with the power …

Load aggregators (LAs) purchase demand response (DR) capacity from users by incentive
compensation and then resell them by bidding in the day-ahead DR market to gain profits …

Demand response is becoming increasingly important due to the high penetration of
intermittent and variable renewable energy and electric vehicles in power systems. Real …

To accommodate the proliferation of microgrids (MGs) that manage various distributed
energy resources (DERs) to ensure secure internal operations, an interactive two-stage …