Efficient deterministic renewable energy forecasting guided by multiple-location weather data

Electricity generated from renewable energy sources has been established as an efficient remedy for both energy shortages and the environmental pollution stemming from conventional energy production methods. At current stage, hydropower remains the primary contributor to electricity generation among...

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Veröffentlicht in:	Neural computing & applications Jg. 37; H. 17; S. 10647 - 10674
Hauptverfasser:	Symeonidis, Charalampos, Nikolaidis, Nikos
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.06.2025 Springer Nature B.V
Schlagworte:	Alternative energy sources Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Datasets Electric power grids Electricity Energy resources Forecasting Image Processing and Computer Vision Meteorological data Power plants Probability and Statistics in Computer Science Production methods Renewable energy sources Renewable resources Root-mean-square errors S.I.: Timely Advances of Deep Learning with applications and Data Driven Modeling Solar energy Special Issue on Timely Advances of Deep Learning with applications and Data Driven Modeling Time series Weather forecasting Wind power Deep learning Deterministic RES forecasting Time-series forecasting
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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