Volume 06: Proceedings of 11th International Conference on Applied Energy, Part 5, Sweden, 2019

Hybrid Sarima Support Vector Regression Firefly Algorithm in Electrical Load Forecasting Rezzy Eko Caraka, Rung Ching Chen, Toni Toharudin

Abstract

Analysis of electricity consumption is important because it concerns the resilience of a country. Data mining techniques are needed that can handle fluctuations in these data, one of which uses SVR. The best parameter search for SVR is the most important for forming the model. In this paper, we will discuss in detail the combination of SARIMA-SVR and Firefly algorithms. The firefly algorithm is one of the metaheuristic techniques that provides accuracy which proven by the value of MAPE and RMSE.

Keywords electrical load, SVR, Firefly, Metaheuristics, Forecasting

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