Power generation using wind has been extensively utilised, with substantial capacity add-on
worldwide, during recent decades. The wind power energy sector is growing, and has …

An adaptive critic system based on the policy iteration (PI) technique has been developed in
this study. The proposed control technique has been effectively applied to the problem of …

The power and energy (PaE) systems are undergoing a major transformation to ensure
cleaner energy with sustainable economic growth. The focus of this transformation is the …

This paper presents the stability improvement of the three-phase four-wire (3P-4W) grid-tied
PV-hybrid energy storage system (HESS) using chaotic grew wolf optimization (CGWO) for …

Urbanization is occurring at an accelerating pace, and so the densification of population,
which is putting a strain on the existing infrastructure. With the rapid surge in the energy …

Small-scale pedestrian detection is one of the challenges in general object detection.
Factors such as complex backgrounds, long distances, and low-light conditions make the …

The objective of this chapter is to develop a data resource library for renewable energy
forecasting/prediction using the whole world's available dataset of the solar and wind …

Abstract Machine learning (ML) is the subcategory of artificial intelligence (AI), which has the
capability to imitate human behavior intelligently as per the task performed by the human. In …

In remote areas, losses due to transmission of electrical energy from main grid are very high.
In such cases, local generators such as solar photovoltaic (SPV) generators, wind …

The short-term hydro scheduling (STH'S) issue is intended to decide optimum electrical
generation schedule for a single unit hydro or an assimilated power plant of cascaded …