District Heating Load Prediction Algorithm Based on Feature Fusion LSTM Model

District Heating Load Prediction Algorithm Based on Feature Fusion LSTM Model

The smart district heating system (SDHS) is an important element of the construction of smart cities in Northern China; it plays a significant role in meeting heating requirements and green energy saving in winter. Various Internet of Things (IoT) sensors and wireless transmission technologies are a...

Full description

Bibliographic Details
Main Authors: Guixiang Xue, Yu Pan, Tao Lin, Jiancai Song, Chengying Qi, Zhipan Wang
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Energies
Subjects:
heat load prediction
deep learning
long short-term memory
feature fusion
Online Access:https://www.mdpi.com/1996-1073/12/11/2122

Internet

https://www.mdpi.com/1996-1073/12/11/2122

Similar Items