The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
An Intelligent Home Energy Management System to Improve Demand Response
Abstract
Demand Response (DR) and Time-of-Use (TOU) pricing refer to programs which offer incentives to customers who curtail their energy use during times of peak demand. In this paper, we propose an integrated solution to predict and re-engineer the electricity demand (e.g., peak load reduction and shift) in a locality at a given day/time. The system presented in this paper expands DR to residential loads by dynamically scheduling and controlling appliances in each dwelling unit. A decision-support system is developed to forecast electricity demand in the home and enable the user to save energy by recommending optimal run time schedules for appliances, given user constraints and TOU pricing from the utility company. The schedule is communicated to the smart appliances over a self-organizing home energy network and executed by the appliance control interfaces developed in this study. A predictor is developed to predict, based on the user's life style and other social/environmental factors, the potential schedules for appliance run times. An aggregator is used to accumulate predicted demand from residential customers.
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Cites
An Automatic Method for Solving Discrete Programming Problems
Land, A. H., & Doig, A. G. (2010) · 50 Years of Integer Programming 1958-2008 · doi:10.1007/978-3-540-68279-0_5 · Cited by 1,988
An Automatic Method of Solving Discrete Programming Problems
Land, A. H., & Doig, A. G. (1960) · Econometrica · doi:10.2307/1910129 · Cited by 1,942
Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments
Mohsenian-Rad, A.-H., & Leon-Garcia, A. (2010) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2010.2055903 · Cited by 1,838
Global Optimization Using Interval Analysis
(2003) · CRC Press eBooks · doi:10.1201/9780203026922 · Cited by 1,674
Demand Response as a Market Resource Under the Smart Grid Paradigm
Rahimi, F., & Ipakchi, A. (2010) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2010.2045906 · Cited by 848
Pedrasa, M. A. A., Spooner, T. D., & MacGill, I. F. (2010) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2010.2053053 · Cited by 842
Appliance Commitment for Household Load Scheduling
Du, P., & Lu, N. (2011) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2011.2140344 · Cited by 568
Demand Response and Distribution Grid Operations: Opportunities and Challenges
Medina, J., Muller, N., & Roytelman, I. (2010) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2010.2050156 · Cited by 372
Cited by
An efficient power scheduling scheme for residential load management in smart homes
Rasheed, M., Javaid, N., Ahmad, A., Khan, Z., Qasim, U., & Alrajeh, N. (2015) · Applied Sciences · doi:10.3390/app5041134 · Cited by 134
Smart Home Energy Management Including Renewable Sources: A QoE-driven Approach
Pilloni, V., Floris, A., Meloni, A., & Atzori, L. (2016) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2016.2605182 · Cited by 131
Real-Time Emulation of Residential Buildings by Hardware Solution of Multi-Layer Model
Guzman, C., Agbossou, K., & Cardenas, A. (2019) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2018.2848727 · Cited by 13
Metadata
- Authors
- Ozturk, Y., Senthilkumar, D., Kumar, S., & Lee, G.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2013-06
- Volume
- 4
- Issue
- 2
- Pages
- 694-701
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2116532272
- Cited by
- 294
- References
- 8
- FWCI
- 20.17
- Type
- journal article
- Language
- en
- Open access
- closed
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