Electricity Consumption Prediction Based on Time Series Data Features Integrate with Long Short-Term Memory Model

Author:

Wang Jiaqiu,Mou Hao,Lin Hai,Jin Yining,Wang Ruijie

Publisher

Springer International Publishing

Reference16 articles.

1. Wu, Q., Lu, S.F., Yang, S.H., et al.: Research on household electricity management under corresponding conditions on demand side. Electric Power Eng. Technol. 35(5), 28–31 (2016)

2. Fan, J., Feng, H., Niu, D.X., Wang, X.Y., Liu, F.Y.: Monthly electricity consumption prediction based on wavelet analysis and GM-ARIMA model. J. North China Electric Power Univ. Nat. Sci. Ed. 42(4), 101–105 (2015)

3. Wang, T., Zhang, W., Lu, M.M., Wang, T.M.: Research on prediction method of power consumption of regional power grid based on time series. Electr. Technol. 11, 9–12 (2010)

4. Guefano, S., Tamba, J.G., Azong, T.E.M., Monkam, L.: Forecast of electricity consumption in the Cameroonian residential sector by Grey and vector autoregressive models. Energy 214 (2021)

5. Laxmi, R.: Relation between electricity consumption and economic growth in Karnataka, India: An aggregate and sector-wise analysis. Electricity J. 33(5), (2020)

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