Author:
Atef Sara,Nakata Kazuhide,Eltawil Amr B.
Subject
General Engineering,General Computer Science
Reference48 articles.
1. An optimized model using LSTM network for demand forecasting;Abbasimehr;Computers & Industrial Engineering,2020
2. Amasyali, K., & El-Gohary, N. M. (2018). A review of data-driven building energy consumption prediction studies. Renewable and Sustainable Energy Reviews, 81(January 2016), 1192–1205. https://doi.org/10.1016/j.rser.2017.04.095.
3. Intelligent techniques for forecasting electricity consumption of buildings;Amber;Energy,2018
4. atef, sara, ismail, nourhan, & Eltawil, A. (2021). A New Fuzzy Logic Based Approach for Optimal Household Appliance Scheduling Based on Electricity Price and Load Consumption Prediction. Advances in Building Energy Research. https://doi.org/10.1080/17512549.2021.1873183.
5. Assessment of stacked unidirectional and bidirectional long short-term memory networks for electricity load forecasting;Atef;Electric Power Systems Research,2020
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