FORECASTING THE LONG RUN ELECTRICITY DEMAND USING HYBRID PSO-ANFIS ALGORITHM

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SADEGHI HOSSEIN; AFZALIAN ALI AKBAR; HAGHANI MAHMOUD; SOHRABI HOSSEIN

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Journal: JOURNAL OF ECONOMIC MODELING RESEARCH Year:2013 | Volume:3 | Issue:10 Page(s): 21-56

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Title

FORECASTING THE LONG RUN ELECTRICITY DEMAND USING HYBRID PSO-ANFIS ALGORITHM

Author(s)

SADEGHI HOSSEIN | AFZALIAN ALI AKBAR | HAGHANI MAHMOUD | SOHRABI HOSSEIN | Issue Writer Certificate

Keywords

FORECASTQ2

DEMANDQ2

ELECTRICITYQ2

PARTICLE SWARM OPTIMIZATIONQ2

ADAPTIVE NEURAL BASED FUZZY INFERENCE SYSTEMQ2

Abstract

Storing the electrical energy in large scale is impossible. So, it is necessary to identify the factors affecting the ELECTRICITY DEMAND. Researchers have used different methods to FORECAST the future DEMAND of ELECTRICITY, among them intelligent methods and fuzzy based methods are more popular. Since ANFIS structure is based on researcher’s experience about phenomenon, the created structure may not have the best result. Therefore, we used PSO-ANFIS structure.In this paper long term ELECTRICITY DEMAND is FORECASTed until the year 2025 by hybrid PSO-ANFIS algorithm. The results confirm the high power of the ADAPTIVE NEURAL BASED FUZZY INFERENCE SYSTEM in FORECASTing the ELECTRICITY DEMAND. Results also indicate that the FORECASTed ELECTRICITY DEMAND will be 401 billion KWh in 2025. The prediction performance of the proposed technique is more accurate than the ARIMA model.

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APA: Copy

SADEGHI, HOSSEIN, AFZALIAN, ALI AKBAR, HAGHANI, MAHMOUD, & SOHRABI, HOSSEIN. (2013). FORECASTING THE LONG RUN ELECTRICITY DEMAND USING HYBRID PSO-ANFIS ALGORITHM. JOURNAL OF ECONOMIC MODELING RESEARCH, 3(10), 21-56. SID. https://sid.ir/paper/208844/en

Vancouver: Copy

SADEGHI HOSSEIN, AFZALIAN ALI AKBAR, HAGHANI MAHMOUD, SOHRABI HOSSEIN. FORECASTING THE LONG RUN ELECTRICITY DEMAND USING HYBRID PSO-ANFIS ALGORITHM. JOURNAL OF ECONOMIC MODELING RESEARCH[Internet]. 2013;3(10):21-56. Available from: https://sid.ir/paper/208844/en

IEEE: Copy

HOSSEIN SADEGHI, ALI AKBAR AFZALIAN, MAHMOUD HAGHANI, and HOSSEIN SOHRABI, “FORECASTING THE LONG RUN ELECTRICITY DEMAND USING HYBRID PSO-ANFIS ALGORITHM,” JOURNAL OF ECONOMIC MODELING RESEARCH, vol. 3, no. 10, pp. 21–56, 2013, [Online]. Available: https://sid.ir/paper/208844/en

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