Hourly Heat Load Prediction Model Based on Temporal Convolutional Neural Network

Hourly Heat Load Prediction Model Based on Temporal Convolutional Neural Network

Smart district heating system (SDHS) is an important way to realize green energy saving and comfortable heating in the future, which is conducive to improving energy utilization efficiency and reducing pollution emissions. The accurate prediction algorithm of heating load plays an important role in...

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Bibliographic Details
Main Authors: Jiancai Song, Guixiang Xue, Xuhua Pan, Yunpeng Ma, Han Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Heat load prediction
district-heating system
temporal convolutional neural network
machine learning
Online Access:https://ieeexplore.ieee.org/document/8964399/

Internet

https://ieeexplore.ieee.org/document/8964399/

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