A support vector machine–firefly algorithm-based model for global solar radiation prediction

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A hybrid SVM-FFA method for prediction of monthly mean global solar radiation (2015, background): “…TE D AR TIC LE the ones with higher brightness; and (3) the brightness of the individual firefly is affected by the nature of the encoded cost function, simply say, the brightness is proportional to the value of the fitness or objective function (Poursalehi et al. 2013; Olatomiwa et al. 2015).”
Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques (2019, methodology): “ANN, SVM, ELM methods are commonly adopted in the proposed hybrid models, in conjunction with few optimisation methods such as GA, FFA, CRO, PSO, EA, SFLA, LM and GSO as found in recent articles [112, 122, 123, 125, 130, 136, 137, 147].”
Short-Term Photovoltaic Power Forecasting Using an LSTM Neural Network and Synthetic Weather Forecast (2020, background): “On the other hand, long-term forecasting horizons extend from one month to one year, which is used for long term planning [3].”