Giosprite

Giosprite 

Giosprite have developed an Ecosystem of smart network technologies spanning transport, tourism, environmental and social care to help local authorities and businesses gain valuable insight from Internet of Things data quickly and easily.

项目:

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This project looks at the use of artificial intelligence and deep reinforcement learning for the energy management system, which allows for the control of energy based on multiple factors, including supply, demand, energy price and weather data, using 发送 and Keele Campus as a case study.

发送:

The project will use initial data from SEND to train the algorithms based on real-life data. The outcome of the project could be an intelligent energy management system that could be used within 发送 to optimally manage energy usage within the campus.

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June 2019):

  • Review of literature on demand response and microgrids and machine learning.
  • Prototype agent-based system created using Python.
  • Simulations performed based on both simulated energy price and real price data.
  • 工作ing to improve using a multi-agent system and incorporating other aspects of demand response.

商业 联系(s): Nick Wilcox

Keele Graduate 研究er: Dan Harrold

Keele Academic(s): Professor Zhong Fan, Dr Jun Cao