Accurate forecasting of carbon emissions has become a critical task for the government to
formulate effective policies and sustainable development. However, previous studies have …

This paper presents an effective hybrid renewable energy system. This system utilizes
primary energy sources represented by both photovoltaic (PV) and wind energy conversion …

Wind prediction has consistently been in the spotlight as a crucial element in achieving
efficient wind power generation and reducing operational costs. In recent years, with the …

The extensive integration of electric vehicles (EVs) into power grids has raised safety
concerns. Meanwhile current EVs charging loads forecasting models mainly focus on single …

This paper introduces an adaptive artificial intelligence (AI)-based home energy
management system (HEMS) to mitigate the discomfort of customers and reduce operational …

The widespread use of green energy sources creates a significant demand for energy
storage. Hybrid floating photovoltaic (FPV) and pumped hydro storage (PHS) represent one …

This study focuses on the implementation of an efficient hybrid power system in two main
phases. Firstly, it aims to optimize the performance of individual renewable energy sources …

In this paper, a novel artificial intelligence (AI)-based energy management strategy across
three levels is designed for isolated microgrids. During the initial phase, AI is not employed …

This study presents an innovative home energy management system (HEMS) that
incorporates PV, WTs, and hybrid backup storage systems, including a hydrogen storage …

Wind energy has emerged as one of the most effective solutions to address global energy
crises and environmental degradation, owing to its clean and abundant resources [1]. In …