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Study on Industrial Electricity Forecasting Using Artificial Neural Networks in Data Mining


Affiliations
1 Department of Computer Engineering, Punjabi University, Patiala-147002, India
 

Accurate knowledge of electric power demand is the most basic need for the operation of industries. Artificial Neural Networks (ANNs) are the ones that can provide us the knowledge about the load demand of electric power systems. These are the predominant load forecasting technique used now days.

In this study, various ANNs with inputs, outputs and number of hidden neurons are examined, techniques for their optimizations are proposed and their results are discussed. This model is designed under MATLAB.


Keywords

Artificial Neural Networks, Electric Power, Short Term Load Forecasting, Industries.
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  • Study on Industrial Electricity Forecasting Using Artificial Neural Networks in Data Mining

Abstract Views: 158  |  PDF Views: 9

Authors

Mallika Wadhwa
Department of Computer Engineering, Punjabi University, Patiala-147002, India
Amrit Kaur
Department of Computer Engineering, Punjabi University, Patiala-147002, India
Sumit Bansal
Department of Computer Engineering, Punjabi University, Patiala-147002, India

Abstract


Accurate knowledge of electric power demand is the most basic need for the operation of industries. Artificial Neural Networks (ANNs) are the ones that can provide us the knowledge about the load demand of electric power systems. These are the predominant load forecasting technique used now days.

In this study, various ANNs with inputs, outputs and number of hidden neurons are examined, techniques for their optimizations are proposed and their results are discussed. This model is designed under MATLAB.


Keywords


Artificial Neural Networks, Electric Power, Short Term Load Forecasting, Industries.