Optimal smoothing for trend removal in short term electricity demand forecasting

D.G. Infield; D.C. Hill

doi:10.1109/59.709108

Optimal smoothing for trend removal in short term electricity demand forecasting

IEEE Transactions on Power Systems ◽

10.1109/59.709108 ◽

1998 ◽

Vol 13 (3) ◽

pp. 1115-1120 ◽

Cited By ~ 65

Author(s):

D.G. Infield ◽

D.C. Hill

Keyword(s):

Demand Forecasting ◽

Electricity Demand ◽

Short Term ◽

Electricity Demand Forecasting ◽

Optimal Smoothing ◽

Trend Removal

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Short-term electricity demand forecasting using autoregressive based time varying model incorporating representative data adjustment

Applied Energy ◽

10.1016/j.apenergy.2017.08.135 ◽

2017 ◽

Vol 205 ◽

pp. 790-801 ◽

Cited By ~ 21

Author(s):

D.H. Vu ◽

K.M. Muttaqi ◽

A.P. Agalgaonkar ◽

A. Bouzerdoum

Keyword(s):

Demand Forecasting ◽

Electricity Demand ◽

Time Varying ◽

Short Term ◽

Representative Data ◽

Electricity Demand Forecasting ◽

Data Adjustment

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Temperature correction method for pattern similarity-based short-term electricity demand forecasting models

PRZEGLĄD ELEKTROTECHNICZNY ◽

10.15199/48.2017.03.03 ◽

2017 ◽

Vol 1 (3) ◽

pp. 13-16

Author(s):

Marcin JANICKI

Keyword(s):

Demand Forecasting ◽

Correction Method ◽

Temperature Correction ◽

Electricity Demand ◽

Short Term ◽

Forecasting Models ◽

Electricity Demand Forecasting ◽

Pattern Similarity

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Short-term electricity demand forecasting using double seasonal exponential smoothing

Journal of the Operational Research Society ◽

10.1057/palgrave.jors.2601589 ◽

2003 ◽

Vol 54 (8) ◽

pp. 799-805 ◽

Cited By ~ 338

Author(s):

J W Taylor

Keyword(s):

Demand Forecasting ◽

Exponential Smoothing ◽

Electricity Demand ◽

Short Term ◽

Electricity Demand Forecasting

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Short-Term Electricity Demand Forecasting with Seasonal and Interactions of Variables for Thailand

2018 International Electrical Engineering Congress (iEECON) ◽

10.1109/ieecon.2018.8712189 ◽

2018 ◽

Cited By ~ 1

Author(s):

Kamal Chapagain ◽

Somsak Kittipiyakul

Keyword(s):

Demand Forecasting ◽

Electricity Demand ◽

Short Term ◽

Electricity Demand Forecasting

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Short-term electricity demand forecasting by using a MATLAB-based ANFIS model

Advances in Energy and Environment Research ◽

10.1201/9781315212876-6 ◽

2017 ◽

pp. 23-26

Author(s):

Abit Balin ◽

Merve Sert ◽

Ilknur Besirli

Keyword(s):

Demand Forecasting ◽

Electricity Demand ◽

Short Term ◽

Anfis Model ◽

Electricity Demand Forecasting

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Ensembles of general regression neural networks for short-term electricity demand forecasting

2017 18th International Scientific Conference on Electric Power Engineering (EPE) ◽

10.1109/epe.2017.7967256 ◽

2017 ◽

Cited By ~ 1

Author(s):

Grzegorz Dudek

Keyword(s):

Neural Networks ◽

Demand Forecasting ◽

Electricity Demand ◽

Short Term ◽

Electricity Demand Forecasting ◽

General Regression Neural Networks ◽

General Regression

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Short term electricity demand forecasting in south korea with generalized additive models

Journal of the Korean Data and Information Science Society ◽

10.7465/jkdi.2018.29.5.1299 ◽

2018 ◽

Vol 29 (5) ◽

pp. 1299-1307

Author(s):

Hyelyen Kim ◽

Jaehee Kim

Keyword(s):

South Korea ◽

Generalized Additive Models ◽

Demand Forecasting ◽

Electricity Demand ◽

Additive Models ◽

Short Term ◽

Electricity Demand Forecasting

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Short-term electricity demand forecasting method for smart meters

2012 IEEE 6th International Conference on Information and Automation for Sustainability ◽

10.1109/iciafs.2012.6419915 ◽

2012 ◽

Cited By ~ 1

Author(s):

K. S. K. Weranga ◽

D. P. Chandima ◽

S. R. Munasinghe ◽

S. P. Kumarawadu ◽

A. M. Harsha S.

Keyword(s):

Demand Forecasting ◽

Electricity Demand ◽

Short Term ◽

Smart Meters ◽

Electricity Demand Forecasting ◽

Forecasting Method

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MATLAB/spl reg/ implementation of neural & neuro-fuzzy approaches for short-term electricity demand forecasting

2004 International Conference on Power System Technology, 2004. PowerCon 2004. ◽

10.1109/icpst.2004.1460186 ◽

2005 ◽

Author(s):

Ka Fei ◽

Thang

Keyword(s):

Demand Forecasting ◽

Electricity Demand ◽

Short Term ◽

Electricity Demand Forecasting ◽

Neuro Fuzzy

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Short term electricity demand forecasting using partially linear additive quantile regression with an application to the unit commitment problem

Applied Energy ◽

10.1016/j.apenergy.2018.03.155 ◽

2018 ◽

Vol 222 ◽

pp. 104-118 ◽

Cited By ~ 29

Author(s):

Moshoko Emily Lebotsa ◽

Caston Sigauke ◽

Alphonce Bere ◽

Robert Fildes ◽

John E. Boylan

Keyword(s):

Quantile Regression ◽

Unit Commitment ◽

Demand Forecasting ◽

Electricity Demand ◽

Short Term ◽

Unit Commitment Problem ◽

Electricity Demand Forecasting ◽

Partially Linear ◽

Commitment Problem

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