Feature selection for energy system modeling: Identification of relevant time series information
Heuristic or clustering based time series aggregation methods are often used to reduce temporal complexity of energy system models by selecting representative days. However, these methods potentially neglect relevant information of time series (e.g., distribution parameters). To identify relevant ti...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-06-01
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| Series: | Energy and AI |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666546821000112 |