NDLI: Optimization algorithms for home energy resource scheduling in presence of data uncertainty

Content Provider	IEEE Xplore Digital Library
Author	Squartini, S. Boaro, M. De Angelis, F. Fuselli, D. Piazza, F.
Copyright Year	2013
Description	Author affiliation: Dept. of Inf. Eng., Univ. Politec. delle Marche, Ancona, Italy (Squartini, S.; Boaro, M.; De Angelis, F.; Fuselli, D.; Piazza, F.)
Abstract	Smart Home Energy Management is a very hot topic for the scientific community and some interesting solutions have also recently appeared on the market. One key issue is represented by the capability of planning the usage of energy resources in order to reduce the overall energy costs. This means that, considering the dynamic electricity price and the availability of adequately sized storage system, the expert system is supposed to automatically decide the more convenient policy for energy management from and towards the grid. In this work a comparison among different linear and nonlinear methods for home energy resource scheduling is proposed, considering the presence of data uncertainty into account. Indeed, whereas the employment of advanced optimization frameworks can take advantage by their inherent offline approach, the need to forecast the energy price and the amount of self-generated power. A residential scenario, in which a system storage and renewable resources are available and exploitable to match the user load demand, has been considered for performed computer simulations: obtained results show how the offline approaches provide good performance also in presence of uncertain data.
Starting Page	323
Ending Page	328
File Size	692323
Page Count	6
File Format	PDF
ISBN	9781467362481
e-ISBN	9781467362498
DOI	10.1109/ICICIP.2013.6568091
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy Resource Scheduling Radiation effects Discharges (electric) Batteries Optimization Training Renewable energy sources Electricity Adaptive Critic Design Electricity Price Forecasting Solar Irradiation Forecasting Particle Swarm Optimization Linear Programming
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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