Short-Term Demand Prediction Using an Ensemble of Linearly-Constrained Estimators

The benefits of forecasting power demand can bring increased stability to any power grid. Between optimizing the production and control of grid resources and interacting with energy markets, there is a strong motivation for generation, transmission, and distribution grid stakeholders to obtain accur...

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Veröffentlicht in:	IEEE transactions on power systems 2021-07, Vol.36 (4), p.3163-3175
Hauptverfasser:	Bhotto, Md. Zulfiquar Ali, Jones, Richard, Makonin, Stephen, Bajic, Ivan V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Companies Control stability Demand demand forecasting Distributed generation Economic forecasting Electric power grids Energy prediction ensemble learning Fuzzy logic Genetic algorithms Measurement microgrid Microgrids Multilayers Neural networks optimization Predictions Predictive models smart grid Support vector machines
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