Day-ahead forecasting approach for energy consumption of an office building using support vector machines

This paper presents a Support Vector Machine (SVM) based approach for energy consumption forecasting. The proposed approach includes the combination of both the historic log of past consumption data and the history of contextual information. By combining variables that influence the electrical energ...

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Bibliographic Details
Main Author: Jozi, Aria (author)
Other Authors: Pinto, Tiago (author), Praça, Isabel (author), Vale, Zita (author)
Format: conferenceObject
Language:eng
Published: 2021
Subjects:
Support Vector Machine (SVM)
Data series analysis
Energy consumption forecasting
Office building
Online Access:http://hdl.handle.net/10400.22/16862
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/16862

Internet

http://hdl.handle.net/10400.22/16862

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