Short-term multinodal load forecasting in distribution systems using general regression neural networks

2011 IEEE Trondheim PowerTech ◽

10.1109/ptc.2011.6019432 ◽

2011 ◽

Author(s):

K. Nose-Filho ◽

A. D. P. Lotufo ◽

C. R. Minussi

Keyword(s):

Neural Networks ◽

Distribution Systems ◽

Load Forecasting ◽

General Regression Neural Networks ◽

General Regression

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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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Intelligent Transient Overvoltages Location in Distribution Systems Using Wavelet Packet Decomposition and General Regression Neural Networks

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2016.2520909 ◽

2016 ◽

Vol 12 (5) ◽

pp. 1726-1735 ◽

Author(s):

Haoyong Chen ◽

Pascal Dieu Seul Assala ◽

Yongzhi Cai ◽

Ping Yang

Keyword(s):

Neural Networks ◽

Distribution Systems ◽

Wavelet Packet ◽

Wavelet Packet Decomposition ◽

General Regression Neural Networks ◽

General Regression

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General Regression Neural Networks for Modeling Disinfection Residual in Water Distribution Systems

Critical Transitions in Water and Environmental Resources Management ◽

10.1061/40737(2004)446 ◽

2004 ◽

Author(s):

R. J. May ◽

H. R. Maier ◽

G. C. Dandy ◽

J. B. Nixon

Keyword(s):

Neural Networks ◽

Distribution Systems ◽

Water Distribution ◽

Water Distribution Systems ◽

General Regression Neural Networks ◽

General Regression

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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 ◽

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 ◽

Author(s):

Glen Mitchell ◽

Sanjay Bahadoorsingh ◽

Neil Ramsamooj ◽

Chandrabhan Sharma

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Support Vector Machines ◽

Load Forecasting ◽

Support Vector ◽

Vector Machines ◽

Short Term Load Forecasting ◽

Artificial Neural ◽

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Time series method for short-term load forecasting using smart metering in distribution systems

2011 IEEE Trondheim PowerTech ◽

10.1109/ptc.2011.6019331 ◽

2011 ◽

Author(s):

Ni Ding ◽

Y. Besanger ◽

F. Wurtz ◽

G. Antoine ◽

P. Deschamps

Keyword(s):

Time Series ◽

Distribution Systems ◽

Load Forecasting ◽

Smart Metering ◽

Series Method ◽

Short Term Load Forecasting ◽

Time Series Method

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Comparison of forecasting methods for power system short-term load forecasting based on neural networks

2016 IEEE International Conference on Information and Automation (ICIA) ◽

10.1109/icinfa.2016.7831806 ◽

2016 ◽

Author(s):

Linlin Zhuang ◽

Hai Liu ◽

Jimin Zhu ◽

Shulin Wang ◽

Yong Song

Keyword(s):

Neural Networks ◽

Power System ◽

Load Forecasting ◽

Forecasting Methods ◽

Short Term Load Forecasting

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04/01537 Subsystem level fault diagnosis of a building's air-handling unit using general regression neural networks

Fuel and Energy Abstracts ◽

10.1016/s0140-6701(04)90363-3 ◽

2004 ◽

Vol 45 (3) ◽

pp. 209

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Air Handling Unit ◽

Subsystem Level ◽

General Regression Neural Networks ◽

General Regression

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Discussion: General Regression Neural Networks for Driven Piles in Cohesionless Soils

Journal of Geotechnical and Geoenvironmental Engineering ◽

10.1061/(asce)1090-0241(2000)126:9(855) ◽

2000 ◽

Vol 126 (9) ◽

pp. 855-856

Author(s):

Claudio Cherubini

Keyword(s):

Neural Networks ◽

Driven Piles ◽

Cohesionless Soils ◽

General Regression Neural Networks ◽

General Regression

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Data preprocessing using hybrid general regression neural networks and particle swarm optimization for remote terminal units

International Journal of Control Automation and Systems ◽

10.1007/s12555-012-0220-0 ◽

2012 ◽

Vol 10 (2) ◽

pp. 407-414 ◽

Author(s):

Wen-Hui Chen ◽

Jun-Horng Chen ◽

Shih-Chun Shao

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Data Preprocessing ◽

Swarm Optimization ◽

Remote Terminal ◽

General Regression Neural Networks ◽

Terminal Units ◽

Remote Terminal Units ◽

General Regression

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