Electric Load Forecasting Using Genetic Algorithm – A Review
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 6
Abstract
Many real-world problems from operations research and management science are very complex in nature and quite hard to solve by conventional optimization techniques. So, intelligent solutions based on genetic algorithm (GA), to solve these complicated practical problems in various sectors are becoming more and more widespread nowadays. GAs are being developed and deployed worldwide in myriad applications, mainly because of their symbolic reasoning, flexibility and explanation capabilities. This paper provides an overview of GAs, as well as their current use in the field of electric load forecasting. The types of GA are outlined, leading to a discussion of the various types and parameters of load forecasting. The paper concludes by sharing thoughts and estimations on GA for load forecasting for future prospects in this area. This review reveals that although still regarded as a novel methodology, GA technologies are shown to have matured to the point of offering real practical benefits in many of their applications.
Authors and Affiliations
Arun Kumar Gangwar, Farheen Chishti
Keywords
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