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گواهی نمایه سازی مقاله Optimal Linear Prediction for Electricity Price Forecasting

عنوان مقاله: Optimal Linear Prediction for Electricity Price Forecasting
شناسه (COI) مقاله: ECOSE01_298
منتشر شده در کنفرانس ملی بهینه سازی مصرف انرژی در علوم و مهندسی در سال ۱۳۹۳
مشخصات نویسندگان مقاله:

Sadegh Rabie Lakmeh sari - Lahijan Branch, Islamic Azad University, Guilan, Iran
Payam Rahimi, - College of Vocational and Technical of mulla sadra, Ramsar, Guilan, Iran
mahmood talebiyan sefat - Rasht Branch, Islamic Azad University, Rasht, Iran

خلاصه مقاله:
For increasingly deregulated electricity market, accurate forecasting of electricity demand and spot price has become crucial for the independent system operators, generators and consumers. In this study linear prediction optimized by Particle Swarm Optimization (PSO) was suggested and the results of this novel method were compared with ordinary linear prediction. Then applying the real data, proposed methods and comparing theirresults, this idea came true that the proposed novel method (optimized linear prediction by PSO) resulted much better than ordinary linear forecasting method. Results are based on real data of an area in Queensland.

کلمات کلیدی:
Optimal prediction; linear prediction; Electricity Price Forecasting, PSO algorithm

صفحه اختصاصی مقاله و دریافت فایل کامل: https://www.civilica.com/Paper-ECOSE01-ECOSE01_298.html