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

M. Alahmad, Yuye Peng, E. Sordiashie, L. El Chaar, N. Aljuhaishi, H. Sharif
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引用次数: 5

Abstract

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.
信息技术和智能电网——建筑节能的途径
通过结合信息和通信技术(ICT)、先进的仪器仪表、系统智能和终端用户信息,智能电网将提高建筑能效和节约能源。需求侧管理(DSM)项目在能源节约和管理策略以及收集实时消费信息数据方面起到辅助作用。具体来说,正如本文所提出的,建筑物中使用点的实时、细粒度消耗数据可以被建筑能源管理人员、公用事业公司和最终用户用于规划、负荷预测和反馈,以提供可能导致最终用户行为改变的信息。本文重点研究节点级极短时间负荷预测(NL-VSTLF)的发展,特别是在使用点上利用实时数据的框架,以推进建筑极短负荷预测领域的研究。该框架将成为实时使用所有活动节点的集合进行一分钟到每小时和每日可变负荷预测的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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