ARTICLE | doi:10.20944/preprints201805.0353.v1
Subject: Mathematics & Computer Science, General & Theoretical Computer Science Keywords: big data; big data system; energy; district heating; reinforcement learning
Online: 24 May 2018 (16:05:27 CEST)
This paper presents a study on the thermal efficiency improvement of the user equipment room in the district heating system based on reinforcement learning , and suggests a general method of constructing a learning network(DQN) using deep Q learning, which is a reinforcement learning algorithm that does not specify a model. In addition, we introduce the big data platform system and the integrated heat management system for the energy field in the massive data processing from the IoT sensor installed in large number of thermal energy control facilities.