Hourly Energy Consumption Forecasting for Office Buildings Based on Support Vector Machine

Hourly Energy Consumption Forecasting for Office Buildings Based on Support Vector Machine

Aimed at the nonlinearity and uncertainty of building energy consumption, a forecasting approach based on the support vector machine is proposed in this paper for the prediction of hourly energy consumption of an office building. The univariate model test is used to determine the input parameters. S...

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Bibliographic Details
Main Authors: XIAO Ran, WEI Ziqing, ZHAI Xiaoqiang
Format: article
Language:ZH
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2021
Subjects:
energy consumption
forecasting approach
support vector machine
grid search
confidence interval
Engineering (General). Civil engineering (General)
TA1-2040
Chemical engineering
TP155-156
Naval architecture. Shipbuilding. Marine engineering
VM1-989
Online Access:https://doaj.org/article/70d4f9da31594529943691a2c3294798
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https://doaj.org/article/70d4f9da31594529943691a2c3294798

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