Short-Term Electrical Peak Demand Forecasting in a Large Government Building Using Artificial Neural Networks

Jason Grant; Moataz Eltoukhy; Shihab Asfour

doi:10.3390/en7041935

Short-Term Electrical Peak Demand Forecasting in a Large Government Building Using Artificial Neural Networks

Energies ◽

10.3390/en7041935 ◽

2014 ◽

Vol 7 (4) ◽

pp. 1935-1953 ◽

Cited By ~ 15

Author(s):

Jason Grant ◽

Moataz Eltoukhy ◽

Shihab Asfour

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Demand Forecasting ◽

Short Term ◽

Peak Demand ◽

Artificial Neural

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Short-Term Water Demand Forecasting Using Nonlinear Autoregressive Artificial Neural Networks

Journal of Water Resources Planning and Management ◽

10.1061/(asce)wr.1943-5452.0001165 ◽

2020 ◽

Vol 146 (3) ◽

pp. 04020008 ◽

Cited By ~ 6

Author(s):

Mo’tamad H. Bata ◽

Rupp Carriveau ◽

David S.-K. Ting

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Water Demand ◽

Demand Forecasting ◽

Short Term ◽

Water Demand Forecasting ◽

Artificial Neural ◽

Nonlinear Autoregressive

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Short-term electrical load demand forecasting using artificial neural networks for off-grid distributed generation applications

2017 Saudi Arabia Smart Grid (SASG) ◽

10.1109/sasg.2017.8356472 ◽

2017 ◽

Cited By ~ 2

Author(s):

Tolga Turai ◽

Ian Ballard ◽

Rafat Rob

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Distributed Generation ◽

Demand Forecasting ◽

Electrical Load ◽

Short Term ◽

Load Demand ◽

Artificial Neural

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Short-term water demand forecasting using artificial neural networks: IIT Kanpur experience

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 ◽

10.1109/icpr.2000.906111 ◽

2002 ◽

Cited By ~ 1

Author(s):

D.A. Jain ◽

U.C. Joshi ◽

A.K. Varshney

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Water Demand ◽

Demand Forecasting ◽

Short Term ◽

Water Demand Forecasting ◽

Artificial Neural

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Comprehensive comparison of artificial neural networks and long short-term memory networks for rainfall-runoff simulation

Physics and Chemistry of the Earth Parts A/B/C ◽

10.1016/j.pce.2021.103026 ◽

2021 ◽

pp. 103026

Author(s):

Ganquan Mao ◽

Meng Wang ◽

Junguo Liu ◽

Zifeng Wang ◽

Kai Wang ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Short Term Memory ◽

Rainfall Runoff ◽

Short Term ◽

Runoff Simulation ◽

Term Memory ◽

Comprehensive Comparison ◽

Long Short Term Memory ◽

Artificial Neural

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Short Term Hourly Load Forecasting Using Combined Artificial Neural Networks

International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) ◽

10.1109/iccima.2007.133 ◽

2007 ◽

Author(s):

P. Subbaraj ◽

V. Rajasekaran

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Load Forecasting ◽

Short Term ◽

Artificial Neural

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A comparison of artificial neural networks and support vector machines for short-term load forecasting using various load types

2017 IEEE Manchester PowerTech ◽

10.1109/ptc.2017.7980814 ◽

2017 ◽

Cited By ~ 6

Author(s):

Glen Mitchell ◽

Sanjay Bahadoorsingh ◽

Neil Ramsamooj ◽

Chandrabhan Sharma

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Support Vector Machines ◽

Load Forecasting ◽

Support Vector ◽

Short Term ◽

Vector Machines ◽

Short Term Load Forecasting ◽

Artificial Neural ◽

Load Types

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Short-term fading simulation using artificial neural networks

AEU - International Journal of Electronics and Communications ◽

10.1016/j.aeue.2010.09.005 ◽

2011 ◽

Vol 65 (7) ◽

pp. 641-649 ◽

Cited By ~ 6

Author(s):

Nikola Tomasevic ◽

Aleksandar Neskovic ◽

Natasa Neskovic

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Short Term ◽

Artificial Neural

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Short-Term Wind Power Prediction Based on Principal Component Analysis and Elman Artificial Neural Networks

2017 4th International Conference on Information Science and Control Engineering (ICISCE) ◽

10.1109/icisce.2017.146 ◽

2017 ◽

Cited By ~ 1

Author(s):

Shaung Hu ◽

Ke-Jun Li

Keyword(s):

Neural Networks ◽

Principal Component Analysis ◽

Artificial Neural Networks ◽

Wind Power ◽

Principal Component ◽

Component Analysis ◽

Power Prediction ◽

Short Term ◽

Wind Power Prediction ◽

Artificial Neural

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Long Term Annual Electricity Demand Forecasting in Sri Lanka by Artificial Neural Networks

2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) ◽

10.1109/appeec.2018.8566586 ◽

2018 ◽

Author(s):

DC Hapuarachchi ◽

KTMU Hemapala ◽

AGBP Jayasekara

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Sri Lanka ◽

Demand Forecasting ◽

Electricity Demand ◽

Electricity Demand Forecasting ◽

Artificial Neural

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Artificial Neural Networks Model for Short Term Forecasting Global Irradiation at Center Station in the Nine Station Photovoltaic

2015 9th Asia Modelling Symposium (AMS) ◽

10.1109/ams.2015.11 ◽

2015 ◽

Author(s):

Chao Rong Chen ◽

Unit Three Kartini

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Short Term ◽

Global Irradiation ◽

Artificial Neural ◽

Short Term Forecasting

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