Battery energy-storage system: A review of technologies, optimization objectives, constraints, approaches, and outstanding issues
Due to urbanization and the rapid growth of population, carbon emission is increasing,
which leads to climate change and global warming. With an increased level of fossil fuel …
which leads to climate change and global warming. With an increased level of fossil fuel …
A review of the applications of artificial intelligence in renewable energy systems: An approach-based study
Recent advancements in data science and artificial intelligence, as well as the development
of clean and sustainable energy sources, have created numerous opportunities for energy …
of clean and sustainable energy sources, have created numerous opportunities for energy …
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 …
Thermo-mechanical optimization of thermoelectric generators using deep learning artificial intelligence algorithms fed with verified finite element simulation data
C Maduabuchi - Applied Energy, 2022 - Elsevier
The rising levels of global warming in the environment owing to emissions from fossil-fuel-
based engines has increased the search for efficient clean energy systems. Thermoelectric …
based engines has increased the search for efficient clean energy systems. Thermoelectric …
Grid-connected lithium-ion battery energy storage system: A bibliometric analysis for emerging future directions
The lithium-ion battery energy storage systems (ESS) have fuelled a lot of research and
development due to numerous important advancements in the integration and development …
development due to numerous important advancements in the integration and development …
[HTML][HTML] Artificial neural network for fault diagnosis of solar photovoltaic systems: a survey
Z Yuan, G Xiong, X Fu - Energies, 2022 - mdpi.com
Solar energy is one of the most important renewable energy sources. Photovoltaic (PV)
systems, as the most crucial conversion medium for solar energy, have been widely used in …
systems, as the most crucial conversion medium for solar energy, have been widely used in …
[HTML][HTML] AB-net: A novel deep learning assisted framework for renewable energy generation forecasting
Renewable energy (RE) power plants are deployed globally because the renewable energy
sources (RESs) are sustainable, clean, and environmentally friendly. However, the demand …
sources (RESs) are sustainable, clean, and environmentally friendly. However, the demand …
[HTML][HTML] A survey of artificial intelligence methods for renewable energy forecasting: Methodologies and insights
The efforts to revolutionize electric power generation and produce clean and sustainable
electricity have led to the exploration of renewable energy systems (RES). This form of …
electricity have led to the exploration of renewable energy systems (RES). This form of …
Artificial neural networks for bio-based chemical production or biorefining: A review
Abstract Machine learning through artificial neural networks have emerged as vital tools to
predict chemical behavior for many of the most recognized biomass valorization processes …
predict chemical behavior for many of the most recognized biomass valorization processes …
[HTML][HTML] Optimal planning of battery energy storage systems by considering battery degradation due to ambient temperature: a review, challenges, and new …
In recent years, the goal of lowering emissions to minimize the harmful impacts of climate
change has emerged as a consensus objective among members of the international …
change has emerged as a consensus objective among members of the international …