Predictive Modelling of Building Energy System
(Sprache: Englisch)
Building energy system modeling and energy usage prediction play an important role in fields of building energy management, power plants dispatch, and peak demand conflicting with grid security. Owing to the ease of use and adaptability of optimal solution...
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Building energy system modeling and energy usage prediction play an important role in fields of building energy management, power plants dispatch, and peak demand conflicting with grid security. Owing to the ease of use and adaptability of optimal solution seeking, data driven techniques have proved to be accurate and efficient tools for building and larger scale energy consumption prediction, and a large number of data-driven models were applied in the past two decades. In this book, the current research trends of energy use prediction are investigated and classified. Systematic introduction to the theoretical methods, basic steps and various application cases for building energy prediction is provided. Essential feature selection, over-fitting problem, and performance comparison is addressed. Several sets of real buildings' electricity usage data are collected for case studies including cases from energy prediction shooting organized by ASHRAE and cases from campus buildings inChina and USA respectively.
Autoren-Porträt von Kangji Li, Wenping Xue
Li, KangjiKangji Li is currently a Professor in the School of Electrical & Information Engineering, Jiangsu University, China. He obtained his Ph.D. degree (Control Science and Engineering) from the Institute of Cyber-Systems & Control, Zhejiang University, in 2013. His research interests mainly focus on the intersection of automation and building science.
Bibliographische Angaben
- Autoren: Kangji Li , Wenping Xue
- 2021, 200 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6203855413
- ISBN-13: 9786203855418
Sprache:
Englisch
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