In this paper, an improved Sliding Mode Control (SMC) is proposed based on the Wind
Energy Conversion System (WECS), which is with offshore wind turbine Permanent Magnet …

This article presents an improved version of the coyote optimization algorithm (COA) that is
more compatible with nature. In the proposed algorithm, fitness-distance balance (FDB) and …

Two-stage optimization framework of a novel hybrid renewable integrated energy system is
proposed. Firstly, system topological structure and corresponding behaviors are constructed …

In modern power systems, renewable energy resources are becoming more relevant due to
their eco-friendly nature and sustainable electrification. Therefore, it is important to consider …

Optimal power flow problem is one of the most important non‐linear problems for power
system planning and the operation of existing modern power networks. Recently, the …

Abstract The Optimal Power Flow (OPF) is a vital issue in electrical networks to ensure the
economical and safe operation to transfer electrical energy that is very complex, non-linear …

Feature selection used for dimensionality reduction of the feature space plays an important
role in multi-label learning where high-dimensional data are involved. Although most …

Residential consumers can optimize their participation in demand response programs
(DRPs) using home energy management systems (HEMS). By automatically adjusting air …

This paper presents a multi-objective economic-environmental dispatch (MOEED) model for
integrated thermal, natural gas, and renewable energy systems considering both pollutant …

The Savonius wind turbine cluster installation significantly impacts its power output in real
wind fields. This study aims to investigate the effect of wind conditions on the power output of …