Machine learning approaches to predict electricity production from renewable energy sources
Bearing in mind European Green Deal assumptions regarding a significant reduction of
green house emissions, electricity generation from Renewable Energy Sources (RES) is …
green house emissions, electricity generation from Renewable Energy Sources (RES) is …
[HTML][HTML] Artificial intelligence-based forecasting models for integrated energy system management planning: An exploration of the prospects for South Africa
S Krishnamurthy, OB Adewuyi, E Luwaca… - Energy Conversion and …, 2024 - Elsevier
The regional energy demand for Southern Africa has been predicted to increase by ten to
fourteen times between the years 2010 and 2070. Thus, to address the proliferation of …
fourteen times between the years 2010 and 2070. Thus, to address the proliferation of …
Wind energy forecasting and analysis using machine learning
Y Mohd, H Singh - AIP Conference Proceedings, 2024 - pubs.aip.org
Among renewable energy sources, wind energy treated as a major and viable option due to
its available capacity to provide electricity in a consistent fashion. However, wind energy has …
its available capacity to provide electricity in a consistent fashion. However, wind energy has …
Optimal Design of Electrical Machine Utilizing Hybrid Kernel Extreme Learning Machine Method
Q Wang, Z Ren, D Zhang - 2023 26th International Conference …, 2023 - ieeexplore.ieee.org
In the field of electrical engineering, aiming at the optimization design of electrical machine,
this paper investigates one novel optimization strategy based on hybrid kernel extreme …
this paper investigates one novel optimization strategy based on hybrid kernel extreme …
Short-Term High-Frequency Powner Prediction Algorithm for Limited Output Wind Turbines with Different Confidence Levels
Y Zhang, H Su, R Wang, N Wang… - 2024 4th International …, 2024 - ieeexplore.ieee.org
In order to improve the precision accuracy and reliability of predictions and meet the needs
of wind power system operation scheduling, research is conducted on high-frequency short …
of wind power system operation scheduling, research is conducted on high-frequency short …