Research progress and prospects of machine learning applications in renewable energy: a comprehensive bibliometric-based review
XP Wang, Y Shen, C Su - International Journal of Environmental Science …, 2024 - Springer
The stability of power system operations is being challenged by the rapid development of
renewable energy. A viable solution is to achieve accurate renewable energy forecasting. In …
renewable energy. A viable solution is to achieve accurate renewable energy forecasting. In …
Ready solutions for today and tomorrow-Renewable and sustainable energy systems
This paper is the editorial for the virtual special issue (VSI) of Renewable and Sustainable
Energy Reviews (RSER) dedicated to three Sustainable Development of Energy Water and …
Energy Reviews (RSER) dedicated to three Sustainable Development of Energy Water and …
[HTML][HTML] Time-dependent photovoltaic performance assessment on a global scale using artificial neural networks
Abstract The integration of Renewable Energy Sources (RESs), particularly solar
PhotoVoltaics (PVs) has become an imperative aspect of sustainable energy systems. In this …
PhotoVoltaics (PVs) has become an imperative aspect of sustainable energy systems. In this …
Towards Sustainable Hydrogen Mobility: Evaluating Renewable Energy Systems for Green Hydrogen Generation
In the pursuit of sustainable energy solutions, the transition towards hydrogen mobility
stands as a promising avenue, with green hydrogen emerging as a key component. Green …
stands as a promising avenue, with green hydrogen emerging as a key component. Green …
Photovoltaic Performance Assessment in Different Weather Conditions Utilizing an Artificial Neural Network Ensemble
The adoption of Renewable Energy Sources (RESs), particularly solar Photovoltaic (PV)
systems, is essential for sustainable energy systems. To enhance PV system performance …
systems, is essential for sustainable energy systems. To enhance PV system performance …
Peak Shaving with Bifacial Solar PV: Simulated Storage Battery Dispatch for Electric Vehicle Charging
Electric load peak shaving is a challenging and important problem considering the rapid
growth of high-power electric vehicle charging sites. This novel study models vertically …
growth of high-power electric vehicle charging sites. This novel study models vertically …
Advanced Pattern Detection and Trend Forecasting in European Carbon Markets Using Machine Learning Algorithms
SA Hosseini, A Niccolai, M Lorenzo… - … Intelligence & Green …, 2024 - ieeexplore.ieee.org
This paper investigates the detection and prediction of patterns in European Carbon
Emission price trends using machine learning on high-frequency tick-by-tick data …
Emission price trends using machine learning on high-frequency tick-by-tick data …
Evaluation of technical and financial benefits of battery energy storage system control strategies
The recent increase in renewable energy generation can balance consumption and reduce
carbon emissions. With battery energy storage optimizing supply and demand, it is more …
carbon emissions. With battery energy storage optimizing supply and demand, it is more …
Robust Optimized Trading Strategies for Energy Commodity Markets
The growth of renewable energy sources in the grid and the more recent outbreak of the
Russian war on Ukraine have led to deep changes in the energy markets' dynamics. The …
Russian war on Ukraine have led to deep changes in the energy markets' dynamics. The …
Evaluation of lighting factors that influence energy efficiency for the design of educational spaces on the university campus of the UNA, Puno
KDM Gutierrez, DPA Salgado… - Multidisciplinary Science …, 2025 - malque.pub
Energy efficiency in higher education buildings is crucial to reduce energy consumption. The
campus of the Universidad Nacional del Altiplano de Puno, Peru, faces unique challenges …
campus of the Universidad Nacional del Altiplano de Puno, Peru, faces unique challenges …