Leveraging sanitized data for probabilistic electricity market prediction: a Singapore case study
In deregulated electricity markets, predicting price and load is a common practice. However, market participants and shareholders often seek deeper insights into other system statuses associated with price prediction, such as power flow and market share of generation companies (GenCos). These insigh...
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Main Authors: | , , , , |
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格式: | Article |
語言: | English |
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2024
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在線閱讀: | https://hdl.handle.net/10356/174007 |
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機構: | Nanyang Technological University |
語言: | English |