[HTML][HTML] Artificial intelligence and machine learning in energy systems: A bibliographic perspective
Economic development and the comfort-loving nature of human beings in recent years have
resulted in increased energy demand. Since energy resources are scarce and should be …
resulted in increased energy demand. Since energy resources are scarce and should be …
A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids
Microgrids have recently emerged as a building block for smart grids combining distributed
renewable energy sources (RESs), energy storage devices, and load management …
renewable energy sources (RESs), energy storage devices, and load management …
Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda
Artificial intelligence (AI) will transform business practices and industries and has the
potential to address major societal problems, including sustainability. Degradation of the …
potential to address major societal problems, including sustainability. Degradation of the …
Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate
The advance rate (AR) of a tunnel boring machine (TBM) in hard rock condition is a key
parameter for the successful accomplishment of a tunneling project, and the proper and …
parameter for the successful accomplishment of a tunneling project, and the proper and …
State of the art of machine learning models in energy systems, a systematic review
Machine learning (ML) models have been widely used in the modeling, design and
prediction in energy systems. During the past two decades, there has been a dramatic …
prediction in energy systems. During the past two decades, there has been a dramatic …
Hydrogen production via using excess electric energy of an off-grid hybrid solar/wind system based on a novel performance indicator
The present study aims to assess the potential of renewable energy resources in the
Kingdom of Saudi Arabia (KSA) for electricity and hydrogen production. A hybrid renewable …
Kingdom of Saudi Arabia (KSA) for electricity and hydrogen production. A hybrid renewable …
A perspective on increasing the efficiency of proton exchange membrane water electrolyzers–a review
Decarbonized hydrogen production using renewable energy sources and water electrolysis
is perceived as a promising solution for a sustainable future. The efficiency of PEMWEs …
is perceived as a promising solution for a sustainable future. The efficiency of PEMWEs …
[HTML][HTML] Progress and prospects of hydrogen production: Opportunities and challenges
This study presents an overview of the current status of hydrogen production in relation to
the global requirement for energy and resources. Subsequently, it symmetrically outlines the …
the global requirement for energy and resources. Subsequently, it symmetrically outlines the …
A survey of deep learning techniques: application in wind and solar energy resources
Nowadays, learning-based modeling system is adopted to establish an accurate prediction
model for renewable energy resources. Computational Intelligence (CI) methods have …
model for renewable energy resources. Computational Intelligence (CI) methods have …
Decision-making and optimal design of green energy system based on statistical methods and artificial neural network approaches
This study attempts to establish a novel statistical and ANN-based decision-making
mechanism for appraising hybrid system optimization strategies. An operational strategy and …
mechanism for appraising hybrid system optimization strategies. An operational strategy and …