A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level
A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level
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Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
The increasing penetration level of energy generation from renewable sources is demanding for more accurate and reliable forecasting tools to support classic power grid operations (e.g., unit commitment, electricity market clearing or maintenance planning). For this purpose, many physical models have been employed, and more recently many statistica...
Alternative Titles
Full title
A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2302881881
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2302881881
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.1910.03276
