Revolutionizing Renewable Energy: Advanced Synthetic Climatic Models for Enhanced Energy Predictability and Optimization
Keywords:
Synthetic Climatic Models, Renewable Energy Applications, Solar Irradiance Simulation, Temperature Prediction, Energy System Optimization, Data-Constrained EnvironmentsSynopsis
This is a Chapter in:
Book:
Intelligent and Sustainable Solutions
Print ISBN 978-1-6692-0012-3
Online ISBN 978-1-6692-0011-6
Series:
Chronicle of Computing
Chapter Abstract:
The efficacy of renewable energy systems rests heavily on solar irradiance and temperature. In reality, however, these data tend to be under or unavailable in certain areas, making accurate design, modeling, and analysis of renewable energy systems unfathomably problematic. This paper discusses the creation and evaluation of novel synthetic climatic models aimed at providing region-specific realistic climatic data. These models utilize highly advanced statistical and machine learning algorithms combined with solar irradiance and temperature models to capture and integrate solar irradiance and temperature data with relative high temporal and spatial resolution. Models’ extensive validation against real climatic datasets considerably increased their reliability and robustness under various conditions including extreme and less plausible scenarios. These results highlight the ability of the models to close the gap posed by the utter absence of reliable, region accurate data in supplementing renewable energies. Such findings are greatly beneficial for improving energy yield forecast, system design, and performance monitoring and evaluation for areas with scarce data resources.
About this Paper
Cite this paper as:
Fendzi Mbasso W., Dagal I., Ambe H., Pradeep J., Fendzi Donfack E., Pierre Tiako P.F. (2025). Revolutionizing Renewable Energy: Advanced Synthetic Climatic Models for Enhanced Energy Predictability and Optimization. In: Tiako P.F. (ed) Intelligent and Sustainable Solutions. Chronicle of Computing. OkIP. CEST25#6. https://doi.org/10.55432/978-1-6692-0011-6_3
Presented at:
The 2025 OkIP International Conference on Energy and Sustainable Technologies (CEST) in Oklahoma City, Oklahoma, USA, and Online, on April 2, 2025
Contact:
Wulfran Fendzi Mbasso
fendzi.wulfran@yahoo.fr
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