Using TensorFlow for Analysis, Learning and Optimization of Net-Zero Homes Energy Data
使用 TensorFlow 分析、学习和优化净零家庭能源数据
基本信息
- 批准号:556133-2020
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Applied Research and Development Grants - Level 1
- 财政年份:2020
- 资助国家:加拿大
- 起止时间:2020-01-01 至 2021-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
I-EMS Group Ltd (I-EMS) is an advanced software and analytics solution provider for optimal planning, operation and control of smart distribution grids with multiple distributed energy resources. I-EMS provides an energy management system (EMS) as a coherent solution for the distributed energy market, utilizing cutting-edge technologies in forecasting, network analysis, and energy trade. The EMS is an autonomous program connected to all sensors within physical buildings that monitor the generation and consumption of energy assets and their respective loads. An abundance of data are generated and available for use from the array of Internet-of-Things (IoT) sensors and control devices and can be used to improve the efficiency and energy performance of connected systems. The goal of this collaborative project is to add advanced data analytics and big data components to I-EMS Group's existing EMS infrastructure, which can be implemented quickly to improve system efficiency and lower energy usage for I-EMS customers. Utilizing a year of IoT sensor/device data from net-zero energy homes, I-EMS Group is collaborating with Professor Nooshin Beheshti and Seneca's School of Information Technology Administration and Security to design, develop and test AI-based algorithms and data mining methods and implement them into new energy profile optimization modules.
I-EMS Group Ltd(I-EMS)是一家先进的软件和分析解决方案提供商,用于优化具有多种分布式能源的智能配电网的规划,运营和控制。I-EMS提供能源管理系统(EMS)作为分布式能源市场的连贯解决方案,利用预测,网络分析和能源贸易的尖端技术。EMS是一个自动程序,连接到物理建筑物内的所有传感器,用于监控能源资产及其相应负载的产生和消耗。物联网(IoT)传感器和控制设备阵列生成并可使用大量数据,可用于提高连接系统的效率和能源性能。该合作项目的目标是为I-EMS集团现有的EMS基础设施添加先进的数据分析和大数据组件,这些组件可以快速实施,以提高系统效率并降低I-EMS客户的能源使用量。利用来自净零能源家庭的一年物联网传感器/设备数据,I-EMS集团正在与Nooshin Beheshti教授和Seneca信息技术管理与安全学院合作,设计,开发和测试基于人工智能的算法和数据挖掘方法,并将其实施到新的能源配置优化模块中。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Leaver, Chad其他文献
Unmet healthcare need, gender, and health inequalities in Canada
- DOI:
10.1016/j.healthpol.2008.11.002 - 发表时间:
2009-06-01 - 期刊:
- 影响因子:3.3
- 作者:
Bryant, Toba;Leaver, Chad;Dunn, James - 通讯作者:
Dunn, James
Valuing National Effects of Digital Health Investments: An Applied Method
- DOI:
10.3233/978-1-61499-488-6-165 - 发表时间:
2015-01-01 - 期刊:
- 影响因子:0
- 作者:
Hagens, Simon;Zelmer, Jennifer;Leaver, Chad - 通讯作者:
Leaver, Chad
Valuing Citizen Access to Digital Health Services: Applied Value-Based Outcomes in the Canadian Context and Tools for Modernizing Health Systems
- DOI:
10.2196/12277 - 发表时间:
2019-06-06 - 期刊:
- 影响因子:7.4
- 作者:
Hackett, Christina;Brennen, Kelsey;Leaver, Chad - 通讯作者:
Leaver, Chad
Leaver, Chad的其他文献
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{{ truncateString('Leaver, Chad', 18)}}的其他基金
Development of knowledge base for contextualized recommendation engine for the 'Your Doctor Online' telehealth platform
为“您的在线医生”远程医疗平台开发情境化推荐引擎知识库
- 批准号:
555466-2020 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Applied Research and Development Grants - Level 1
Development of a universal medical form reader
通用医疗表格阅读器的开发
- 批准号:
560436-2020 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Applied Research and Development Grants - Level 1
Recombinant protein production in prokaryotic and eukaryotic heterologous hosts for serological assays for COVID-19
原核和真核异源宿主中的重组蛋白生产用于 COVID-19 血清学检测
- 批准号:
551372-2020 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Applied Research Rapid Response to COVID-19
Facilitating text comprehension of long-form text
促进长文本的文本理解
- 批准号:
558876-2020 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Engage Plus Grants for Colleges
Seneca Centre for Innovation in Life Sciences (SCILS)
塞内卡生命科学创新中心 (SCILS)
- 批准号:
544347-2019 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
College and Community Innovation Program
Research on software-aided long-form text comprehension
软件辅助长篇文本理解研究
- 批准号:
549520-2019 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Applied Research and Development Grants - Level 1
Non-organic Solvent Method of Extracting N-Acetyl glucosamine from a fermentation broth
从发酵液中提取N-乙酰氨基葡萄糖的非有机溶剂法
- 批准号:
555617-2020 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Applied Research and Development Grants - Level 1
Next Generation candidate screening and assessment platform featuring psychological profiling though gamification
下一代候选人筛选和评估平台,通过游戏化进行心理分析
- 批准号:
553875-2020 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Applied Research and Development Grants - Level 1
Incremental Video Categorization Using Audio and Video Features
使用音频和视频功能进行增量视频分类
- 批准号:
554151-2020 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Applied Research and Development Grants - Level 2
Robotic Process Automation of Workflows
工作流程的机器人过程自动化
- 批准号:
560295-2020 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Applied Research and Development Grants - Level 1
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