**Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast**

Editors

**Federico Divina Francisco A. G ´omez Vela Miguel Garc´ıa-Torres**

MDPI • Basel • Beijing • Wuhan • Barcelona • Belgrade • Manchester • Tokyo • Cluj • Tianjin

*Editors* Federico Divina Division of Computer Science, Universidad Pablo de Olavide Spain

Francisco A. Gomez Vela ´ School of Engineerings, Universidad Pablo de Olavide Spain

Miguel Garc´ıa-Torres Division of Computer Science, Universidad Pablo de Olavide Spain

*Editorial Office* MDPI St. Alban-Anlage 66 4052 Basel, Switzerland

This is a reprint of articles from the Special Issue published online in the open access journal *Applied Sciences* (ISSN 2076-3417) (available at: https://www.mdpi.com/journal/applsci/special issues/optimization big data energy forecast).

For citation purposes, cite each article independently as indicated on the article page online and as indicated below:

LastName, A.A.; LastName, B.B.; LastName, C.C. Article Title. *Journal Name* **Year**, *Volume Number*, Page Range.

**ISBN 978-3-0365-0862-7 (Hbk) ISBN 978-3-0365-0863-4 (PDF)**

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