Title :
Analysis and comparison of various methods available for load forecasting: An overview
Author :
Khatoon, Shahida ; Ibraheem ; Singh, A.K. ; Priti
Author_Institution :
Dept. of Electr. Eng., Jamia Miilia Islamia, New Delhi, India
Abstract :
Accurate load forecasting is essential for power system planning and operation. As the electricity end uses expand, load forecasting technique becomes more complicated. Depending on the nature of load variations, one particular method may not be suitable in each case. Before choosing a particular method, an overview of different techniques is required. This paper presents the analysis of various techniques for load forecasting. A comparative analysis is presented to understand the performance of each technique. None of them is found to be perfect alone; the trend is towards hybrid models.
Keywords :
load forecasting; power system planning; accurate load forecasting; load variations; power system operation; power system planning; Artificial neural networks; Biological system modeling; Forecasting; Load forecasting; Load modeling; Market research; Predictive models; load forecasting; long term load forecast; short term load forecast;
Conference_Titel :
Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), 2014 Innovative Applications of
Conference_Location :
Ghaziabad
DOI :
10.1109/CIPECH.2014.7019112