Statistical Relational Artificial Intelligence in Photovoltaic Power Uncertaint…
Statistical Relational Artificial Intelligence in Photovoltaic Power Uncertainty AnalysisAuthor(s): Xueqian Fu\nFormat: Paperback\nPublisher: Elsevier - Health Sciences Division, United States\nImprint: Elsevier - Health Sciences Division\nISBN-13: 9780443340413, 978-0443340413\nSynopsis\nStatistical Relational Artificial Intelligence in Photovoltaic Power Uncertainty Analysis addresses uncertainty issues in photovoltaic power generation while also supporting the collaborative enhancement of understanding and applying theory and methods through the integration of models, cases, and code. The book employs StaRAI to address uncertainty analysis and modeling issues at different time scales in photovoltaic power generation, including photovoltaic power prediction, probabilistic power flow, stochastic planning, and more. Chapters cover uncertainty of PV power generation from short to long time scales, including day-ahead scheduling (24 hours in advance), intraday scheduling (minute to hou.
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