Artificial neural network based peak load forecasting using Levenberg–Marquardt and quasi-Newton methods

2002 ◽  
Vol 149 (5) ◽  
pp. 578 ◽  
Author(s):  
L.M. Saini ◽  
M.K. Soni
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Peak Load ◽  
Load Forecasting ◽  
Newton Methods ◽  
Levenberg Marquardt ◽  
Artificial Neural ◽  
Quasi Newton

scholarly journals Daily Peak Load Forecast Using Artificial Neural Network

2019 ◽  
Vol 9 (4) ◽  
pp. 2256
Author(s):  
Ramesh Kumar V ◽  
Pradipkumar Dixit
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Learning Algorithm ◽  
Peak Load ◽  
Load Forecasting ◽  
Percentage Error ◽  
Ann Model ◽  
Short Term ◽  
Short Term Load Forecasting ◽  
Artificial Neural

The paper presents an Artificial Neural Network (ANN) model for short-term load forecasting of daily peak load. A multi-layered feed forward neural network with Levenberg-Marquardt learning algorithm is used because of its good generalizing property and robustness in prediction. The input to the network is in terms of historical daily peak load data and corresponding daily peak temperature data. The network is trained to predict the load requirement ahead. The effectiveness of the proposed ANN approach to the short-term load forecasting problems is demonstrated by practical data from the Bangalore Electricity Supply Company Limited (BESCOM). The comparison between the proposed and the conventional methods is made in terms of percentage error and it is found that the proposed ANN model gives more accurate predictions with optimal number of neurons in the hidden layer.

scholarly journals Daily Peak Load Forecasting Using an Artificial Neural Network and Its Improving Method of Reducing the Forecasting Errors

1995 ◽  
Vol 115 (11) ◽  
pp. 1304-1313
Author(s):  
Kyoko Makino ◽  
Tsuyoshi Shimada ◽  
Ryoichi Ichikawa ◽  
Masaya Ono ◽  
Tsunekazu Endo
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Peak Load ◽  
Load Forecasting ◽  
Artificial Neural ◽  
Forecasting Errors
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