Modeling and prediction of India's electricity demand using fuzzy logic

Autor:	S. Saravanan, R. Nithya, C. Thangaraj, S. Karman
Rok vydání:	2014
Předmět:	Set (abstract data type) Electric power system education.field_of_study Computer science Population Econometrics Electricity demand education Fuzzy logic Gross domestic product Task (project management) Power (physics)
Zdroj:	2014 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2014].
Popis:	Forecasting of electricity demand is an important task for the planning and operation of power systems. The objective of this study is, to predict the electricity demand for India using Fuzzy Logic (FL). A set of 64 ‘if-then’ rules are used in accordance with FL method to develop an intelligent predicting model. Per capita GDP, population, import and export are taken as input variables and electricity demand is the predicted output. The output values are much closer to the actual values with minimum error. The results are validated using 18th power survey report.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c194845c155b5eae686ffb4894d800a2 https://doi.org/10.1109/iccpct.2014.7054813 Zobrazit plný text záznamu