Wind, solar, and photovoltaic renewable energy systems with and without energy storage optimization: A survey of advanced machine learning and deep learning …
Nowadays, learning-based modeling methods are utilized to build a precise forecast model
for renewable power sources. Computational Intelligence (CI) techniques have been …
for renewable power sources. Computational Intelligence (CI) techniques have been …
A Review on Sustainable Energy Sources Using Machine Learning and Deep Learning Models
A Bhansali, N Narasimhulu, R Pérez de Prado… - Energies, 2023 - mdpi.com
Today, methodologies based on learning models are utilized to generate precise conversion
techniques for renewable sources. The methods based on Computational Intelligence (CI) …
techniques for renewable sources. The methods based on Computational Intelligence (CI) …
An analysis of renewable energy technology integration investments in Malaysia using HOMER pro
Renewable energy systems are technologies that can generate electricity from solar, wind,
hydroelectric, biomass, and other renewable energy resources. This research project aims …
hydroelectric, biomass, and other renewable energy resources. This research project aims …
Environmental and financial multi-objective optimization: Hybrid wind-photovoltaic generation with battery energy storage systems
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 …
(PV) hybrid generation with battery energy storage, considering a tariff policy issue for the …
Deep reinforcement learning based solution for sustainable energy management in photovoltaic systems
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 …
energy demands, offering advantages such as high efficiency, flexibility, and adaptability to …
Review artificial intelligence applications in renewable energy systems integration
FG Bishaw, MK Ishak, TH Atyia - Journal of Electrical Systems, 2024 - search.proquest.com
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 …
demands and environmental concerns. This review paper focuses on the pivotal role of …
Techno-economic analysis of a wind-energy-based charging station for electric vehicles in high-rise buildings in Malaysia
M Abdelrahim, G Alkawsi, AA Alkahtani, AMW Alhasan… - Energies, 2022 - mdpi.com
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 …
to the increased demand for electric cars and worrisome rises in carbon dioxide emissions …
[PDF][PDF] Energy distribution and economic analysis of a residential house with the net-energy metering scheme in Malaysia.
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 …
through various initiatives. One of the latest initiatives is the amendment of the net-energy …
Efficiency and Performance Optimization of State-of-the-Art “Multi-Phase,-Level,-Cell,-Port,-Motor” Electrical Drives and Renewable Energy Systems
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 …
power electronics for electric drives and renewable energy sources. The concerns about the …
Two-stage stochastic model to invest in distributed generation considering the long-term uncertainties
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 …
performed by consumers in Distributed Generation (DG). The objective function is the total …