Multi-Objective Model for Fair Pricing of Electricity Using the Parameters from the Iran Electricity Market Big Data Analysis

محورهای موضوعی : مجله بین المللی ریاضیات صنعتی

M. Salami ¹ (Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran)
F. Movahedi Sobhani ² (Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran,Iran)
M. S. Ghazizadeh ³ (Department of Electrical Engineering, Abbaspour School of Engineering, Shahid Beheshti University, Tehran, Iran)

تاریخ دریافت : 1396/03/19 تاریخ پذیرش : 1397/02/28 تاریخ انتشار : 1397/08/10

کلید واژه: SVMGA algorithm, Big Data, Multi-Objectives Model, Electricity market, Electricity price,

چکیده مقاله :

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.