Modeling of electricity demand forecast for power system
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-019-04153-5.pdf
Reference49 articles.
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4. Pappas SS, Ekonomou L, Karamousantas DC, Chatzarakis GE, Katsikas SK, Liatsis P (2008) Electricity demand loads modeling using AutoRegressive Moving Average (ARMA) models. Energy 33(9):1353–1360
5. Fang TT, Lahdelma R (2016) Evaluation of a multiple linear regression model and SARIMA model in forecasting heat demand for district heating system. Appl Energy 179:544–552
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