Electricity is establishing ground as a means of energy, and its proportion will continue to
rise in the next generations. Home energy usage is expected to increase by more than 40 …

With the advent of smart grids, advanced information infrastructures, advanced metering
facilities, bidirectional exchange of information, and battery storage home area networks …

The home energy management (HEM) sector is going through an enormous change that
includes important elements like incorporating green power, enhancing efficiency through …

The paper introduces a novel decentralized electricity market framework tailored for network
community microgrid systems, leveraging blockchain technology. It presents a …

In general, the distribution network operator and microgrid operators independently perform
their operation and management, which may not be overall economical. Therefore, this …

Abstract YANDAR, Kandel L.; REVELO-SANCHEZ, Oscar and BOLANOS-GONZALEZ,
Manuel E.. Machine learning for electric power prediction: a systematic literature review. Ing …

Energy trading and demand are key components of the electricity market, with accurate load
forecasting essential for predicting consumption and optimizing costs. This research aims to …

This study presents a Systematic Literature Review (SLR) on artificial intelligence (AI)
techniques applied to electric power prediction. The specialized databases employed in this …

The phenomenon of supercooled large droplets (SLD) icing poses a severe threat to the
safe operation of aircraft. The Sobol sequence sampling method, radial basis function (RBF) …

Aiming at the problem of joint bidding of photovoltaic power generation (PV) and energy
storage system (ESS) in the power supply market and reserve market, a method of real-time …