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Information technology and the smart grid - A pathway to conserve energy in buildings

机译:信息技术与智能电网-建筑节能的途径

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Through combining Information and Communication Technologies (ICT), advanced instrumentation, system intelligence, and information on the end user, the smart grid will increase building energy efficiency and conservation. Demand Side Management (DSM) programs serve as an aid in energy conservation and management strategies as well as in the collection of real-time consumption information data. Specifically, as proposed in this paper, real-time, fine-grain consumption data at the point of use in buildings can be used by building energy managers, utilities, and the end user for planning, load forecasting, and feedback for providing information that may lead to end user behavior change. This paper focuses on the development of node-level very short time load forecasting (NL-VSTLF), and specifically on a framework for the utilization of real-time data at the point of use for advancing research in the area of building-very short term load forecasting. This proposed framework will be the foundation for variable one minute to hourly and daily load forecasting using an aggregate of all active nodes in real-time.
机译:通过将信息和通信技术(ICT),先进的仪器仪表,系统智能以及有关最终用户的信息相结合,智能电网将提高建筑物的能源效率和节能效果。需求方管理(DSM)程序有助于节能和管理策略以及实时消耗信息数据的收集。具体来说,如本白皮书所述,建筑物能源管理人员,公用事业和最终用户可以使用建筑物中使用时的实时,细粒度消耗数据来进行规划,负荷预测和反馈,以提供信息,可能会导致最终用户的行为发生变化。本文着重于节点级超短时间负荷预测(NL-VSTLF)的开发,特别是针对在建筑非常短的领域中促进研究使用的实时数据的利用框架。长期负荷预测。该提议的框架将成为实时使用所有活动节点的总和对一分钟到每小时和每天的负荷进行预测的基础。

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