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PWRdown: A data-driven solution that reduces electricity wastage for real world business operations using IoT-based components & Bluetooth Low Energy connectivity.

PWRdown: A data-driven solution that reduces electricity wastage for real world business operations using IoT-based components & Bluetooth Low Energy connectivity.
PWRdown:一种数据驱动的解决方案,可使用基于物联网的组件减少现实世界业务运营的电力浪费
批准号:
10044038
负责人:
金额:
$6.36万
依托单位:
依托单位国家:
英国
项目类别:
Grant for R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --

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中文摘要
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英文摘要
What?HyScore is a technology business that is increasing interconnectivity and smart automation for businesses operating in real-world environments. We use sensor technology solutions that are able to track and monitor key operational activities, resulting in data output and analysis that drives significant cost savings & efficiency gains.Why?All businesses operating in real-world environments are facing increasing margin pressure that is forcing them to look at innovative ways to maintain customer service and drive down costs. At the same time, they are having to plan for and adjust to expectations in relation to net zero. This long-term strategic objective continues to grow in importance and is especially pressing across real estate, given that the sector is responsible for approximately 40% of global greenhouse gas emissions, 70% of which are produced by building operations (Forbes, April 2022).HyScore's solution is able to address both the immediate and pressing need for cost savings whilst also delivering on tangible Environmental, Social, and Governance efficiency goals. This aligns with our mission of bringing greater knowledge and understanding to how business can be done better, with a view to benefit shareholders and also to make a material positive impact on society and the environment.
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: