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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Alahmad, M. Yuye Peng Sordiashie, E. El Chaar, L. Aljuhaishi, N. Sharif, H. |
| Copyright Year | 2013 |
| Description | Author affiliation: GE Power Generation, Dubai, United Arab Emirates (El Chaar, L.) || Univ. of Nebraska-Lincoln, Omaha, NE, USA (Alahmad, M.; Yuye Peng; Sordiashie, E.; Sharif, H.) || Kuwait Univ., Kuwait City, Kuwait (Aljuhaishi, N.) |
| 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. |
| Starting Page | 60 |
| Ending Page | 65 |
| File Size | 806520 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467362030 |
| DOI | 10.1109/Innovations.2013.6544394 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-03-17 |
| Publisher Place | United Arab Emirates |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Energy consumption real-time monitoring Load forecasting Electricity Buildings component information and communication technologies (ICT) energy conservation Real-time systems Smart grids Monitoring |
| Content Type | Text |
| Resource Type | Article |
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