Combining Probability Density Forecasts for Power Electrical Loads

Researchers have proposed various probabilistic load forecasting models in the form of quantiles, densities, or intervals to describe the uncertainties of future energy demand. Density forecasts can provide more uncertainty information than can be expressed by just the quantile and interval. However...

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Veröffentlicht in:	IEEE transactions on smart grid Jg. 11; H. 2; S. 1679 - 1690
Hauptverfasser:	Li, Tianyi, Wang, Yi, Zhang, Ning
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.03.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	continuous ranked probability score Density density forecasting Electrical loads Electricity consumption ensemble learning Estimation Forecasting Gaussian distribution linearly constrained quadratic programming Load forecasting Load modeling Mathematical models Optimization Performance enhancement Predictive models Probabilistic load forecasting Probabilistic logic Quadratic programming Quantiles Statistical analysis Uncertainty
ISSN:	1949-3053, 1949-3061
Online-Zugang:	Volltext
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