Fractional integrated recurrent neural network (FIRNN) for forecasting of time series data in electricity load in Java-Bali

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Fractional integrated recurrent neural network (FIRNN) for forecasting of time series data in electricity load in Java-Bali

机译：分数集成递归神经网络（FIRNN）在Java-Bali中预测电力负荷中的时间序列数据

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《Contemporary Engineering Sciences 》 |2015年第32期| 共16页
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4. Modeling functional outliers for high frequency time series forecasting with neural networks: an empirical evaluation for electricity load data [C] . Nikolaos Kourentzes International Conference on Data Mining . 2011

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6. Generated time-series prediction data of COVID-19′s daily infections in Brazil by using recurrent neural networks [O] . Mohamed Hawas 2020

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7. Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach [O] . Kasun Bandara, Christoph Bergmeir, Slawek Smyl 2020

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Fractional integrated recurrent neural network (FIRNN) for forecasting of time series data in electricity load in Java-Bali

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