Nowadays, learning-based modeling methods are utilized to build a precise forecast model
for renewable power sources. Computational Intelligence (CI) techniques have been …

Today, methodologies based on learning models are utilized to generate precise conversion
techniques for renewable sources. The methods based on Computational Intelligence (CI) …

Renewable energy systems are technologies that can generate electricity from solar, wind,
hydroelectric, biomass, and other renewable energy resources. This research project aims …

The present study proposes a multi-objective optimization method for wind and photovoltaic
(PV) hybrid generation with battery energy storage, considering a tariff policy issue for the …

Photovoltaic solar cells (PSCs) have emerged as a practical solution to meet the growing
energy demands, offering advantages such as high efficiency, flexibility, and adaptability to …

The transition to renewable energy (RE) sources is critical for addressing global energy
demands and environmental concerns. This review paper focuses on the pivotal role of …

Renewable energy sources have become necessary for long-term energy sustainability due
to the increased demand for electric cars and worrisome rises in carbon dioxide emissions …

Malaysia demonstrates its commitment to alleviating the negative climate and energy issues
through various initiatives. One of the latest initiatives is the amendment of the net-energy …

This Special Issue was intended to consolidate the most recent advances in the field of
power electronics for electric drives and renewable energy sources. The concerns about the …

This paper used different risk management indicators applied to the investment optimization
performed by consumers in Distributed Generation (DG). The objective function is the total …