Short Term Load Forecasting Using Artificial Neural Networks
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 2
Abstract
The main objective of the paper is to forecast the load for the next 24 hours, as well one week, considering one month of load data. Load forecasting is an important problem in the operation and planning of electrical power generation. To minimize the operating cost, electric supplier will use forecasted load to control the number of running generator units. Short-term load forecasting (STLF) is for hour to hour forecasting and important to daily maintaining of power plant. This work provides power system dispatchers with an accurate and convenient short term load forecasting (STLF) system, which helps to increase the power system reliability and reduce the system operation cost.
Authors and Affiliations
Suresh Kumar Bhaskaruni
Keywords
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