Author/Authors :
Salami, M. Department of Industrial Engineering - Central Tehran Branch, Islamic Azad University, Tehran, Iran , Movahedi Sobhani, F. Department of Industrial Engineering - Science and Research Branch, Islamic Azad University, Tehran,Iran , Ghazizadeh, M. S. Department of Electrical Engineering - Abbaspour School of Engineering - Shahid Beheshti University, Tehran, Iran
Abstract :
Assessment of the electricity market shows that, electricity market data can be considered "big data". this data has been analyzed by both conventional and modern data mining methods. The predicted variables of supply and demand are considered to be the input of a defined multi-objective for predicting electricity price, which is the result of the defined model. This shows the advantage of applying the new algorithms for big data mining.
Keywords :
Big Data , Electricity price , Electricity market , SVMGA algorithm , Multi-Objectives Model
