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A Review on Novel Hybrid Approximate Method Using Firefly, Wavelet, Algorithm and Day Ahead Power Cost Forecasting

Mukh Raj Yadav*, Kishan Bhushan Sahay**

* PG Scholar, Department of Electrical Engineering, MMMUT, Gorakhpur, India.

** Assistant Professor, Department of Electrical Engineering, MMMUT, Gorakhpur, India.

Periodicity:April - June'2016
DOI : https://doi.org/10.26634/jee.9.4.6037

Abstract

This paper shows a novel half and half insightful calculation using an information sifting method taking into account Wavelet Transform (WT), a streamlining method with Fuzzy Firefly (FF) calculation. Furthermore, a delicate registering model taking into account Fuzzy ARTMAP (FA) system, keeping in mind the end goal to conjecture day-ahead power costs in the Ontario market. An extensive near examination with other delicate registering and cross breed models demonstrate a noteworthy change in conjecture mistake about maximum 40% for every day and monthly cost gauges, by utilization of an expected cross breed model. Besides, minimum code acquired to estimate the Mean Square Error (MSE) and mean supreme blunder shows maximum level of exactness to the expected model. Vigor to the expected crossover wise models are determined by utilizing factual list (blunder change). Also, the great figure execution and the fast versatility of the proposed half and half model are likewise assessed utilizing the PJM market information.

Keywords

Fuzzy ARTMAP, Firefly Optimization, Electricity Market Algorithm, Wavelet Transform, Short-Term Price Forecasting

How to Cite this Article?

Yadav, M.R.,and Sahay, K.B. (2016). A Review on Novel Hybrid Approximate Method Using Firefly, Wavelet, Algorithm and Day Ahead Power Cost Forecasting. i-manager’s Journal on Electrical Engineering, 9(4), 47-54. https://doi.org/10.26634/jee.9.4.6037

References

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