Modelling a combined method based on ANFIS and neural network improved by DE algorithm: A case study for short-term electricity demand forecasting

Applied Soft Computing ◽

10.1016/j.asoc.2016.07.053 ◽

2016 ◽

Vol 49 ◽

pp. 663-675 ◽

Author(s):

Yi Yang ◽

Yanhua Chen ◽

Yachen Wang ◽

Caihong Li ◽

Lian Li

Keyword(s):

Neural Network ◽

Demand Forecasting ◽

Electricity Demand ◽

Combined Method ◽

Electricity Demand Forecasting ◽

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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 ◽

Author(s):

D.H. Vu ◽

K.M. Muttaqi ◽

A.P. Agalgaonkar ◽

A. Bouzerdoum

Keyword(s):

Demand Forecasting ◽

Electricity Demand ◽

Time Varying ◽

Representative Data ◽

Electricity Demand Forecasting ◽

Data Adjustment

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Neural network model with Monte Carlo algorithm for electricity demand forecasting in Queensland

Proceedings of the Australasian Computer Science Week Multiconference on - ACSW '17 ◽

10.1145/3014812.3014861 ◽

2017 ◽

Author(s):

Binbin Yong ◽

Zijian Xu ◽

Jun Shen ◽

Huaming Chen ◽

Yanshan Tian ◽

...

Keyword(s):

Neural Network ◽

Monte Carlo ◽

Network Model ◽

Neural Network Model ◽

Demand Forecasting ◽

Electricity Demand ◽

Monte Carlo Algorithm ◽

Electricity Demand Forecasting

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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 ◽

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 ◽

Author(s):

J W Taylor

Keyword(s):

Demand Forecasting ◽

Exponential Smoothing ◽

Electricity Demand ◽

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 ◽

Author(s):

Kamal Chapagain ◽

Somsak Kittipiyakul

Keyword(s):

Demand Forecasting ◽

Electricity Demand ◽

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 ◽

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 ◽

Author(s):

Grzegorz Dudek

Keyword(s):

Neural Networks ◽

Demand Forecasting ◽

Electricity Demand ◽

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 ◽

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 ◽

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 ◽

Smart Meters ◽

Electricity Demand Forecasting ◽

Forecasting Method

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Designing an optimized model to forecast short-term electricity demand based on ARIMA and wavelet decomposition neural network: composition of linear and non-linear model (a case study in Iran)

22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013) ◽

10.1049/cp.2013.0918 ◽

2013 ◽

Author(s):

M. Zolfaghari ◽

F. Behdad ◽

F. Besharatnia

Keyword(s):

Neural Network ◽

Linear Model ◽

Wavelet Decomposition ◽

Electricity Demand ◽

Network Composition ◽

Optimized Model

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