District heating load prediction algorithm based on feature fusion lstm model

HIGHLIGHTS

• who: Guixiang Xue and colleagues from the School of Artificial Intelligence, Hebei University of Technology, Tianjin, China have published the research work: District Heating Load Prediction Algorithm Based on Feature Fusion LSTM Model, in the Journal: (JOURNAL) of 15/Oct/2017
• what: The analysis of_[1] suggests that the Huai River Policy, which had the laudable goal of providing indoor heat, had disastrous consequences for human health. Combining the latest information technologies such as the Internet, the Internet of Things (IoT), and automation and communication technologies to develop a smart district heating system (SDHS) and . . .
  

   

  

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