Study of Different Techniques for Load Forecasting-A Review |
Author(s): |
| Vivek Kumar Verma , SHRI RAMSWAROOP MEMORIAL UNIVERSITY,DEVA ROAD,LUCKNOW; Yashwant Singh, SHRI RAMSWAROOP MEMORIAL UNIVERSITY,DEVA ROAD,LUCKNOW; Dr. R.S. Bajpai , SHRI RAMSWAROOP MEMORIAL UNIVERSITY,DEVA ROAD,LUCKNOW |
Keywords: |
| Load Forecasting, Wavelet, Neural Networks (NN), Fuzzy Logic (FL) |
Abstract |
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This paper focuses on various approaches to load forecasting, which is essential for developing power supply method to improve the reliability of the power line and provide optimal load scheduling for many developing countries where the demand can be increased day by day. Load forecast is extremely important in electric energy generation, transmission, distribution and markets. Electricity suppliers use forecasting models for prediction of load demand of the consumers to increase or decrease the power generated and to minimize the operating cost of producing electricity. This paper shows study of different methods for load forecasting such as wavelet method, ANN method and fuzzy logic method. |
Other Details |
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Paper ID: IJSRDV3I110250 Published in: Volume : 3, Issue : 11 Publication Date: 01/02/2016 Page(s): 714-719 |
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