Renewable Energy Forecasting Based on Stacking Ensemble Model and Al-Biruni Earth Radius Optimization Algorithm
Introduction: Wind speed and solar radiation are two of the most well-known and widely
used renewable energy sources worldwide. Coal, natural gas, and petroleum are examples …
used renewable energy sources worldwide. Coal, natural gas, and petroleum are examples …
Efficient wind power prediction using machine learning methods: A comparative study
Wind power represents a promising source of renewable energies. Precise forecasting of
wind power generation is crucial to mitigate the challenges of balancing supply and demand …
wind power generation is crucial to mitigate the challenges of balancing supply and demand …
Prediction of cutting forces in hard turning process using machine learning methods: a case study
Accurately predicting cutting forces in hard turning processes can lead to improved process
control, reduced tool wear, and enhanced productivity. This study aims to predict machining …
control, reduced tool wear, and enhanced productivity. This study aims to predict machining …
Improved semi-supervised data-mining-based schemes for fault detection in a grid-connected photovoltaic system
Fault detection is a necessary component to perform ongoing monitoring of photovoltaic
plants and helps in their safety, maintainability, and productivity with the desired …
plants and helps in their safety, maintainability, and productivity with the desired …
[HTML][HTML] Forecasting wind power based on an improved al-Biruni Earth radius metaheuristic optimization algorithm
Wind power forecasting is pivotal in optimizing renewable energy generation and grid
stability. This paper presents a groundbreaking optimization algorithm to enhance wind …
stability. This paper presents a groundbreaking optimization algorithm to enhance wind …
[PDF][PDF] Efficient Wind Power Prediction Using Machine Learning Methods: A Comparative Study. Energies 2022, 15, 2327
Wind power represents a promising source of renewable energies. Precise forecasting of
wind power generation is crucial to mitigate the challenges of balancing supply and demand …
wind power generation is crucial to mitigate the challenges of balancing supply and demand …
Assessing ANN Architectures for Wind Turbine Power Prediction: A Comparative Study
With the increasing importance of renewable energy sources, wind power has emerged as a
significant contributor to the global energy mix. Accurate prediction of wind power production …
significant contributor to the global energy mix. Accurate prediction of wind power production …
Improving wind energy efficiency with machine learning-driven wind speed forecasting
B Kumar, A Simalti, B Deshpande - Multidisciplinary Science Journal, 2023 - malque.pub
The broad use of wind power plants is a result of the rising need for renewable energy.
However, it is difficult to effectively harness wind energy due to the inconsistent and erratic …
However, it is difficult to effectively harness wind energy due to the inconsistent and erratic …