The Comparison Study of Short-Term Prediction Methods to Enhance the Model Predictive Controller Applied to Microgrid Energy Management

The Comparison Study of Short-Term Prediction Methods to Enhance the Model Predictive Controller Applied to Microgrid Energy Management

Electricity load forecasting, optimal power system operation and energy management play key roles that can bring significant operational advantages to microgrids. This paper studies how methods based on time series and neural networks can be used to predict energy demand and production, allowing the...

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Hlavní autoři: Hernández Hernández, César, Rodríguez Díaz, Francisco, Moreno Úbeda, José Carlos, Da Costa Mendes, Paulo Renato, Normey Rico, Julio Elías, Guzmán Sánchez, José Luis
Médium: info:eu-repo/semantics/article
Jazyk:English
Vydáno: MDPI 2020
Témata:
modeling
forecasting
energy hubs
neural networks
model predictive control
On-line přístup:http://hdl.handle.net/10835/7418

Internet

http://hdl.handle.net/10835/7418

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