A novel multi-time-scale modeling for electric power demand forecasting: From short-term to medium-term horizon-Reference-Cited by-同舟云学术

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A novel multi-time-scale modeling for electric power demand forecasting: From short-term to medium-term horizon

Published:2017-01 Issue: Volume:142 Page:58-73
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Boroojeni Kianoosh G.,Amini M. Hadi^ORCID,Bahrami Shahab,Iyengar S.S.,Sarwat Arif I.,Karabasoglu Orkun

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference55 articles.

1. Monthly electric energy demand forecasting based on trend extraction;Gonzalez-Romera;IEEE Trans. Power Syst.,2006

2. Short-term load forecasting methods: an evaluation based on European data;Taylor;IEEE Trans. Power Syst.,2007

3. Market Operations in Electric Power Systems: Forecasting, Scheduling, and Risk Management;Shahidehpour,2002

4. A reliability perspective of the smart grid;Moslehi;IEEE Trans. Smart Grid,2010

5. ARIMA-based demand forecasting method considering probabilistic model of electric vehicles’ parking lots;Amini,2015

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