A new approach to statistical forecasting of daily peak power demand-Reference-Cited by-同舟云学术

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A new approach to statistical forecasting of daily peak power demand

Published:1986-03 Issue:2 Volume:10 Page:145-148
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Goh T.N.,Ong H.L.,Lee Y.O.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference7 articles.

1. Short-term forecasting: a review of procedures in the electricity supply industry;Bunn;J. Oper. Res. Soc.,1982

2. Load forecast bibliography, Phase I;IEEE Trans.,1980

3. Load forecast bibliography, Phase II;IEEE Trans.,1981

4. Quantitative forecasting — the state of the art: extrapolative models;Fildes;J. Oper. Res. Soc.,1979

5. Forecasting and Time Series Analysis;Montgomery,1976

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel dynamic forecasting model for building cooling loads combining an artificial neural network and an ensemble approach;Applied Energy;2018-10

2. A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings;IEEE Communications Surveys & Tutorials;2014

3. Short term load forecasting using Multiple Linear Regression;2007 42nd International Universities Power Engineering Conference;2007-09

4. Load forecasting using artificial intelligence techniques: a literature survey;International Journal of Computer Applications in Technology;2005

5. Economic impact analysis of load forecasting;IEEE Transactions on Power Systems;1997

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