![Open Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextgreen.png)
![Restricted Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextred.png)
Study on Industrial Electricity Forecasting Using Artificial Neural Networks in Data Mining
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.
User
Font Size
Information
![](https://i-scholar.in/public/site/images/abstractview.png)
Abstract Views: 133
![](https://i-scholar.in/public/site/images/pdfview.png)
PDF Views: 9