Performance Analysis of Artificial Neural Networks Training Algorithms and Activation Functions in Day-Ahead Base, Intermediate, and Peak Load Forecasting

Performance Analysis ◽

Peak Load ◽

Load Forecasting ◽

Training Algorithms ◽

Activation Functions ◽

Design of artificial neural networks for short-term load forecasting. Part 2: Multilayer feedforward networks for peak load and valley load forecasting

IEE Proceedings C Generation Transmission and Distribution ◽

10.1049/ip-c.1991.0052 ◽

1991 ◽

Vol 138 (5) ◽

pp. 414 ◽

Cited By ~ 15

Author(s):

Yuan-Yih Hsu ◽

Chien-Chuen Yang

Keyword(s):

Neural Networks ◽

Peak Load ◽

Load Forecasting ◽

Short Term ◽

Feedforward Networks ◽

Short Term Load Forecasting ◽

Biological and Artificial Computation: From Neuroscience to Technology - Lecture Notes in Computer Science ◽

Short-term peak load forecasting: Statistical methods versus Artificial Neural Networks

10.1007/bfb0032594 ◽

1997 ◽

pp. 1334-1343 ◽

Cited By ~ 9

Author(s):

F. J. Marín ◽

F. Sandoval

Keyword(s):

Neural Networks ◽

Statistical Methods ◽

Peak Load ◽

Load Forecasting ◽

Short Term ◽

Performance Analysis of Artificial Neural Networks Training Algorithms and Transfer Functions for Medium-Term Water Consumption Forecasting

International Journal of Advanced Computer Science and Applications ◽

10.14569/ijacsa.2018.090419 ◽

2018 ◽

Vol 9 (4) ◽

Cited By ~ 2

Author(s):

Lemuel Clark P. Velasco ◽

Angelie Rose ◽

Jilly Mae ◽

Kyla Veronica

Keyword(s):

Neural Networks ◽

Performance Analysis ◽

Water Consumption ◽

Transfer Functions ◽

Training Algorithms ◽

Medium Term ◽

Peak load forecasting using Bayesian regularization, Resilient and adaptive backpropagation learning based artificial neural networks

Electric Power Systems Research ◽

10.1016/j.epsr.2007.11.003 ◽

2008 ◽

Vol 78 (7) ◽

pp. 1302-1310 ◽

Cited By ~ 75

Author(s):

Lalit Mohan Saini

Keyword(s):

Neural Networks ◽

Peak Load ◽

Load Forecasting ◽

Bayesian Regularization ◽

Artificial Neural ◽

Backpropagation Learning

Day-ahead Base, Intermediate, and Peak Load Forecasting using K-Means and Artificial Neural Networks

International Journal of Advanced Computer Science and Applications ◽

10.14569/ijacsa.2018.090210 ◽

2018 ◽

Vol 9 (2) ◽

Author(s):

Lemuel Clark ◽

Noel R. ◽

Renbert Jay ◽

Caezar Johnlery ◽

Verlyn C.

Keyword(s):

Neural Networks ◽

Peak Load ◽

Load Forecasting ◽

Medium to Long-term Peak Load Forecasting for Riyadh City Using Artificial Neural Networks

Journal of King Saud University - Engineering Sciences ◽

10.1016/s1018-3639(18)30719-0 ◽

2000 ◽

Vol 12 (2) ◽

pp. 269-283 ◽

Cited By ~ 3

Author(s):

Fahd A. Alturki ◽

Adel Ben Abdennour

Keyword(s):

Neural Networks ◽

Peak Load ◽

Load Forecasting ◽

Riyadh City ◽

Performance Analysis of Various Activation Functions in Artificial Neural Networks

Journal of Physics Conference Series ◽

10.1088/1742-6596/1237/2/022030 ◽

2019 ◽

Vol 1237 ◽

pp. 022030 ◽

Cited By ~ 9

Author(s):

Jianli Feng ◽

Shengnan Lu

Keyword(s):

Neural Networks ◽

Performance Analysis ◽

Activation Functions ◽

Performance Analysis of Cellular Radio System Using Artificial Neural Networks

SSRN Electronic Journal ◽

10.2139/ssrn.2186273 ◽

2012 ◽

Author(s):

Kriti Priya Gupta

Keyword(s):

Neural Networks ◽

Performance Analysis ◽

Cellular Radio ◽

Radio System ◽

3rd International Conference on Advances in Power System Control, Operation and Management (APSCOM 95) ◽

Comparative study for load forecasting using artificial neural networks “ANN” and a statistical package

10.1049/cp:19951275 ◽

1995 ◽

Author(s):

M.M. Elkateb

Keyword(s):

Neural Networks ◽

Comparative Study ◽

Load Forecasting ◽

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

Short Term Hourly Load Forecasting Using Combined Artificial Neural Networks

10.1109/iccima.2007.133 ◽

2007 ◽

Author(s):

P. Subbaraj ◽

V. Rajasekaran

Keyword(s):

Neural Networks ◽

Load Forecasting ◽

Short Term ◽