Despite the advances in solar forecasting methods, and their ever-increasing accuracy, little
is known about their value for real applications, eg, bidding in the electricity market, power …

Global climatic changes and increased carbon footprints provided the main impetus for the
decrease in the use of fossil fuels for electricity generation and transportation. Matured …

The growing share of electricity production from variable renewable energy sources
increases the stochastic nature of the power system. This has repercussions on the markets …

Renewable energy resources such as wind and solar are increasingly more important in
distribution networks and microgrids as their presence keeps flourishing. They help to …

This article proposes an optimal coordinated scheduling of electric vehicles (EVs) for a
virtual power plant (VPP) considering communication reliability. Recent advancements on …

Integrating renewable energy into the modern power grid requires risk-cognizant dispatch of
resources to account for the stochastic availability of renewables. Toward this goal, day …

This paper introduces a demand-side integration (DSI) framework that upholds the
efficacious electrical energy consumption to attain the aims of smart grid as well as the …

The deepening penetration of wind resources introduces major challenges into power
system planning and operation activities. This is due to the need to appropriately represent …

To constantly enhance the accuracy of wind power prediction and furthermore reduce the
uncertainty of power grid dispatching, this study proposes an improved back propagation …

Abstract Dynamic Transformer Rating (DTR) allows unlocking extra capacity of power
transformers using real-time weather data and has been proven to be specifically attractive …