Availability: Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting

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Bibliographic Details
Other Authors:	Tomar, Anuradha (Editor), Gaur, Prerna (Editor), Jin, Xiaolong (Editor)
Format:	Electronic eBook
Language:	English
Published:	Singapore Springer Nature Singapore 2023 Singapore Springer
Edition:	1st ed. 2023
Series:	Lecture Notes in Electrical Engineering 956
Subjects:	Electrical Power Engineering Renewable Energy Artificial Intelligence Electric power production Renewable energy sources Artificial intelligence Aufsatzsammlung
Links:	https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9 https://doi.org/10.1007/978-981-19-6490-9
Physical Description:	1 Online-Ressource (XII, 198 p. 68 illus., 54 illus. in color)
ISBN:	9789811964909
ISSN:	1876-1119
DOI:	10.1007/978-981-19-6490-9

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MARC


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publisher	Springer Nature Singapore Springer
record_format	marc
series2	Lecture Notes in Electrical Engineering
spellingShingle	Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting Electrical Power Engineering Renewable Energy Artificial Intelligence Electric power production Renewable energy sources Artificial intelligence
subject_GND	(DE-588)4143413-4
title	Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting
title_auth	Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting
title_exact_search	Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting
title_full	Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting edited by Anuradha Tomar, Prerna Gaur, Xiaolong Jin
title_fullStr	Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting edited by Anuradha Tomar, Prerna Gaur, Xiaolong Jin
title_full_unstemmed	Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting edited by Anuradha Tomar, Prerna Gaur, Xiaolong Jin
title_short	Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting
title_sort	prediction techniques for renewable energy generation and load demand forecasting
topic	Electrical Power Engineering Renewable Energy Artificial Intelligence Electric power production Renewable energy sources Artificial intelligence
topic_facet	Electrical Power Engineering Renewable Energy Artificial Intelligence Electric power production Renewable energy sources Artificial intelligence Aufsatzsammlung
url	https://doi.org/10.1007/978-981-19-6490-9
work_keys_str_mv	AT tomaranuradha predictiontechniquesforrenewableenergygenerationandloaddemandforecasting AT gaurprerna predictiontechniquesforrenewableenergygenerationandloaddemandforecasting AT jinxiaolong predictiontechniquesforrenewableenergygenerationandloaddemandforecasting

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