DocumentCode :
610235
Title :
Information technology and the smart grid - A pathway to conserve energy in buildings
Author :
Alahmad, M. ; Yuye Peng ; Sordiashie, E. ; El Chaar, L. ; Aljuhaishi, N. ; Sharif, Hamid
Author_Institution :
Univ. of Nebraska-Lincoln, Omaha, NE, USA
fYear :
2013
fDate :
17-19 March 2013
Firstpage :
60
Lastpage :
65
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.
Keywords :
building management systems; demand side management; energy conservation; load forecasting; power consumption; power engineering computing; smart power grids; DSM programs; ICT; NL-VSTLF; advanced instrumentation; building energy conservation strategies; building energy efficiency; building energy management strategies; building energy managers; building-very short term load forecasting; demand side management programs; fine-grain consumption data; information and communication technologies; information technology; load forecasting; node-level very short time load forecasting; real-time consumption information data; real-time data; smart grid; system intelligence; Buildings; Electricity; Energy consumption; Load forecasting; Monitoring; Real-time systems; Smart grids; Load forecasting; component information and communication technologies (ICT); energy conservation; real-time monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Information Technology (IIT), 2013 9th International Conference on
Conference_Location :
Abu Dhabi
Type :
conf
DOI :
10.1109/Innovations.2013.6544394
Filename :
6544394
Link To Document :
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