Load Forecasting for Economic Power Generation and Distribution in Smart Grid Environment

Authors

  • Sastry AB Dept. of Computer Science and Engineering, SET, Jain University, Bangalore
  • N Satish Kumar Dept. of Computer Science and Engineering, SET, Jain University, Bangalore
  • CR Manjunath Dept. of Computer Science and Engineering, SET, Jain University, Bangalore
  • C Prasanna Kumar Dept. of Electrical and Electronics Engineering, SET, Jain University, Bangalore

Keywords:

Data Mining, Load Forecasting, Regression, Smart Grid, RMSE

Abstract

Accurate Load Forecasting of electricity demand is vital for any power utility to reduce losses and to increase efficiency. This is vital for implementation of Smart Grid across the country as Load Forecasting helps to provide reliable and quality power supply to the consumer. In this paper we shall compare some of the existing methods that are used for load forecasting and compare the performance of each of those methods using the RMS E value to measure the performance. The method with the least RMS E value performs better having reliable level of accuracy. We have considered the holidays and temperature of the area information also in our work as it greatly influences the load consumption pattern among the consumers.

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Published

2024-02-26

How to Cite

Sastry, A. B. B., N, S. K., CR, M., & C, P. K. (2024). Load Forecasting for Economic Power Generation and Distribution in Smart Grid Environment. COMPUSOFT: An International Journal of Advanced Computer Technology, 3(07), 1030–1033. Retrieved from https://ijact.in/index.php/j/article/view/181

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Section

Original Research Article

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