06/00689 Long-term/mid-term electric load forecasting based on short-term correlation and annual growth Al-Hamadi, H. M. and Soliman, S. A. Electric Power Systems Research, 2005, 74, (3), 353–361.

doi:10.1016/s0140-6701(06)80691-0

06/00689 Long-term/mid-term electric load forecasting based on short-term correlation and annual growth Al-Hamadi, H. M. and Soliman, S. A. Electric Power Systems Research, 2005, 74, (3), 353–361.

Fuel and Energy Abstracts ◽

10.1016/s0140-6701(06)80691-0 ◽

2006 ◽

Vol 47 (2) ◽

pp. 104

Keyword(s):

Power Systems ◽

Electric Power ◽

Load Forecasting ◽

Electric Power Systems ◽

Annual Growth ◽

Electric Load ◽

Short Term ◽

Systems Research ◽

Electric Load Forecasting

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Long-term/mid-term electric load forecasting based on short-term correlation and annual growth

Electric Power Systems Research ◽

10.1016/j.epsr.2004.10.015 ◽

2005 ◽

Vol 74 (3) ◽

pp. 353-361 ◽

Cited By ~ 84

Author(s):

H.M. Al-Hamadi ◽

S.A. Soliman

Keyword(s):

Load Forecasting ◽

Annual Growth ◽

Electric Load ◽

Short Term ◽

Electric Load Forecasting

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Comment on ‘Differential evolution technique-based short-term economic generation scheduling of hydrothermal systems’ by K.K. Mandal, N. Chakraborty Electric Power Systems Research 78 (2008) 1972–1979

Electric Power Systems Research ◽

10.1016/j.epsr.2016.11.017 ◽

2017 ◽

Vol 147 ◽

pp. 310-312 ◽

Cited By ~ 1

Author(s):

Mohammad Reza Ahmadi ◽

Abdollah Ahmadi ◽

Mohammadreza Janghorbani ◽

Foad H. Gandoman

Keyword(s):

Power Systems ◽

Differential Evolution ◽

Electric Power ◽

Electric Power Systems ◽

Hydrothermal Systems ◽

Short Term ◽

Systems Research ◽

Generation Scheduling

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Short-term Electric Load Forecasting Using the Realtime Weather Information & Electric Power Pattern Analysis

The Transactions of The Korean Institute of Electrical Engineers ◽

10.5370/kiee.2016.65.6.934 ◽

2016 ◽

Vol 65 (6) ◽

pp. 934-939 ◽

Cited By ~ 1

Author(s):

Il-Ju Kim ◽

Song-Keun Lee

Keyword(s):

Electric Power ◽

Pattern Analysis ◽

Load Forecasting ◽

Electric Load ◽

Short Term ◽

Weather Information ◽

Power Pattern ◽

Electric Load Forecasting

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An Efficient Hybrid Method of Regression Tree and Fuzzy Inference for Short-term Load Forecasting in Electric Power Systems

Applications and Science in Soft Computing ◽

10.1007/978-3-540-45240-9_39 ◽

2004 ◽

pp. 287-294

Author(s):

Hiroyuki Mori ◽

Yoshinori Sakatani ◽

Tatsurou Fujino ◽

Kazuyuki Numa

Keyword(s):

Power Systems ◽

Electric Power ◽

Hybrid Method ◽

Fuzzy Inference ◽

Load Forecasting ◽

Regression Tree ◽

Electric Power Systems ◽

Short Term ◽

Short Term Load Forecasting

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Short-Term Load Forecasting for Electric Power Systems Using the PSO-SVR and FCM Clustering Techniques

Energies ◽

10.3390/en4010173 ◽

2011 ◽

Vol 4 (1) ◽

pp. 173-184 ◽

Cited By ~ 34

Author(s):

Pan Duan ◽

Kaigui Xie ◽

Tingting Guo ◽

Xiaogang Huang

Keyword(s):

Power Systems ◽

Electric Power ◽

Load Forecasting ◽

Electric Power Systems ◽

Short Term ◽

Clustering Techniques ◽

Short Term Load Forecasting ◽

Fcm Clustering

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Short term load forecasting in electric power systems: A comparison of ARMA models and extended wiener filtering

Journal of Forecasting ◽

10.1002/for.3980020107 ◽

1983 ◽

Vol 2 (1) ◽

pp. 59-76 ◽

Cited By ~ 12

Author(s):

U. Di Caprio ◽

R. Genesio ◽

S. Pozzi ◽

A. Vicino

Keyword(s):

Power Systems ◽

Electric Power ◽

Load Forecasting ◽

Electric Power Systems ◽

Wiener Filtering ◽

Arma Models ◽

Short Term ◽

Short Term Load Forecasting

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Short-term, long-term, energy storage methods for standby electric power systems

Fourtieth IAS Annual Meeting. Conference Record of the 2005 Industry Applications Conference, 2005. ◽

10.1109/ias.2005.1518837 ◽

2005 ◽

Cited By ~ 18

Author(s):

A. Kusko ◽

J. DeDad

Keyword(s):

Energy Storage ◽

Power Systems ◽

Electric Power ◽

Electric Power Systems ◽

Short Term ◽

Term Energy ◽

Storage Methods

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Short Term Load Forecasting in Electric Power Systems with Artificial Neural Networks

Lecture Notes in Electrical Engineering - Computational Problems in Science and Engineering ◽

10.1007/978-3-319-15765-8_2 ◽

2015 ◽

pp. 19-58 ◽

Cited By ~ 4

Author(s):

G. J. Tsekouras ◽

F. D. Kanellos ◽

N. Mastorakis

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Power Systems ◽

Electric Power ◽

Load Forecasting ◽

Electric Power Systems ◽

Short Term ◽

Short Term Load Forecasting ◽

Artificial Neural

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Review for "An attention‐based CNN‐LSTM‐BiLSTM model for short‐term electric load forecasting in integrated energy system"

10.1002/2050-7038.12637/v1/review2 ◽

2020 ◽

Author(s):

Fengzhang Luo

Keyword(s):

Load Forecasting ◽

Energy System ◽

Electric Load ◽

Short Term ◽

Integrated Energy System ◽

Electric Load Forecasting

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Decision letter for "An attention‐based CNN‐LSTM‐BiLSTM model for short‐term electric load forecasting in integrated energy system"

10.1002/2050-7038.12637/v1/decision1 ◽

2020 ◽

Keyword(s):

Load Forecasting ◽

Energy System ◽

Electric Load ◽

Short Term ◽

Integrated Energy System ◽

Electric Load Forecasting

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