Predicting hourly heating load in district heating system based on the hybrid Bi-directional long short-term memory and temporal convolutional network model
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Elsevier BV
Reference29 articles.
1. Prediction of the total day-round thermal load for residential buildings at various scales based on weather forecast data;Chi;Appl. Energy,2020
2. District heater load forecasting based on machine learning and parallel CNN-LSTM attention;Chung;Energy,2022
3. District heating load prediction algorithm based on bidirectional long short-term memory network model;Cui;Energy,2022
4. Federated learning with SARIMA-based clustering for carbon emission prediction;Cui;J. Clean. Prod.,2023
5. Machine learning algorithms for improving the prediction of air injection effect on the thermohydraulic performance of shell and tube heat exchanger;El-Said;Appl. Therm. Eng.,2021
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1. Short-term power load forecasting based on hybrid feature extraction and parallel BiLSTM network;Computers and Electrical Engineering;2024-11
2. Forecasting of Daily Heat Production in a District Heating Plant Using a Neural Network;Energies;2024-09-01
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