Day-ahead Load Forecasting Using Artificial Neural Network |
Author(s): |
| Pradipsinh A. Chauhan , L.D. College of Engineering; Jyoti R. Iyer, L.D. College of Engineering |
Keywords: |
| Short-Term Load Forecasting (STLF,) Artificial Neural Network (ANN), Back Propagation Network (BPN) |
Abstract |
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Load forecasting is an important component of power system energy management system. Short-term load forecasting (STLF) with lead time of the few minutes to several days is required for the several decision making in the electric utility. These decisions include economic scheduling of generating capacity, scheduling of fuel purchase, maintenance scheduling, unit commitment and planning for energy transactions. In this paper artificial neural network(ANN) is used for short-term load forecasting. Multilayer Back propagation network is used for day ahead (i.e. Next day) load forecasting. Neural network is trained by back propagation algorithm with gradient descent. Load data is collected from GETCO (Gujarat energy Transmission Corporation) 66/11kv distribution substation, Navagam. The load data of Bareja (medium sized town), urban feeder is taken. |
Other Details |
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Paper ID: IJSRDV3I30616 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 2213-2216 |
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