A new hybrid Modified Firefly Algorithm and Support Vector Regression model for accurate Short Term Load Forecasting

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Long-term monthly average temperature forecasting in some climate types of Iran, using the models SARIMA, SVR, and SVR-FA (2019, methodology): “In addition to SVR model, we have used SVR-FA (support vector regression-Firefly algorithm) like Kavousi-Fard et al. 2014, Moazenzadeh et al. 2018, and Mehr et al. 2019, in a study for long-term forecasting of monthly average temperature, because optimization methods are commonly used to calibrate…”
Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran (2018, background): “2017), and the prediction electric loads (Kavousi-Fard et al. 2014).”
Bio inspired computing - A review of algorithms and scope of applications (2016, methodology): “Applications of firefly algorithm has been observed (Fister, Yang & Brest, 2013; Long et al., 2015; Verma et al., 2015; Mishra et al., 2014; Kavousi-Fard et al., 2014) for solving problems with multi-modal functions, classification problems, NP hard problems with equality and/or inequality based…”
Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey (2018, methodology): “This result, which accedes with those attained in earlier studies (e.g., Kavousi-Fard et al. 2014; Fu et al. 2015; Olatomiwa et al. 2015) clearly indicate that the integration of the standalone MLP model with the FFA as an optimizer tool can lead to a more accurate prediction of the lake water…”