Application of neural network and Levenberg_Marquardt algorithm for electrical grid planning

[摘要] In the present scenario of industrial growth, technological advancement and population growth, the single most inseparable commodity is electrical energy. This paper presents a novel way to use Neural Networks to forecast long-term electricity load and use the result for proper grid planning in terms of expansion and maintenance. Uninterrupted, reliable and cheap electricity can only be available if there is a proper planned and stable grid, which can be achieved only through proper futuristic grid planning models. In this paper, focus is centered to form the cluster of areas based on the forecasted energy needs in India. Priority ranking also allocated to decide the level of expansion for forthcoming decades.

[发布机构] School of Mechanical Engineering, VIT University, Vellore, Tamil Nadu; 632014, India^1

[效力级别] 工业技术

[关键词] Electrical energy;Electrical grids;Electricity load;Industrial growth;Levenberg-Marquardt algorithm;Population growth;Priority rankings;Technological advancement