The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Optimal Household Appliances Scheduling Under Day-Ahead Pricing and Load-Shaping Demand Response Strategies
Open accessAbstract
In this paper, a detailed home energy management system structure is developed to determine the optimal day-ahead appliance scheduling of a smart household under hourly pricing and peak power-limiting (hard and soft power limitation)-based demand response strategies. All types of controllable assets have been explicitly modeled, including thermostatically controllable (air conditioners and water heaters) and nonthermostatically controllable (washing machines and dishwashers) appliances, together with electric vehicles (EVs). Furthermore, an energy storage system (ESS) and distributed generation at the end-user premises are taken into account. Bidirectional energy flow is also considered through advanced options for EV and ESS operation. Finally, a realistic test-case is presented with a sufficiently reduced time granularity being thoroughly discussed to investigate the effectiveness of the model. Stringent simulation results are provided using data gathered from real appliances and real measurements.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Mohsenian-Rad, A.-H., Wong, V. W. S., Jatskevich, J., Schober, R., & Leon-Garcia, A. (2010) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2010.2089069 · Cited by 2,744
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
Chen, Z., Wu, L., & Fu, Y. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2212729 · Cited by 720
An Optimal Power Scheduling Method for Demand Response in Home Energy Management System
Zhao, Z., Lee, W. C., Shin, Y., & Song, K.-B. (2013) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2251018 · Cited by 707
An Algorithm for Intelligent Home Energy Management and Demand Response Analysis
Pipattanasomporn, M., Kuzlu, M., & Rahman, S. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2201182 · Cited by 621
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 Optimization for Smart Home Scheduling Under Real-Time Pricing
Tsui, K. M., & Chan, S. C. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2218835 · Cited by 526
Erdinc, O., Paterakis, N. G., Mendes, T. D. P., Bakirtzis, A. G., & P. S. Catalao, J. (2015) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2014.2352650 · Cited by 462
Self-citationDemand Response as a Load Shaping Tool in an Intelligent Grid With Electric Vehicles
Shao, S., Pipattanasomporn, M., & Rahman, S. (2011) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2011.2164583 · Cited by 358
Chen, X., Wei, T., & Hu, S. (2013) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2226065 · Cited by 318
Cited by
Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning
Wan, Z., Li, H., He, H., & Prokhorov, D. (2019) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2018.2879572 · Cited by 548
Optimal residential community demand response scheduling in smart grid
Nan, S., Zhou, M., & Li, G. (2018) · Applied Energy · doi:10.1016/j.apenergy.2017.06.066 · Cited by 319
Remani, T., Jasmin, E. A., & Ahamed, T. P. I. (2019) · IEEE Systems Journal · doi:10.1109/jsyst.2018.2855689 · Cited by 106
Eren, Y., Küçükdemiral, İ. B., & Üstoğlu, İ. (2017) · Optimization in Renewable Energy Systems · doi:10.1016/b978-0-08-101041-9.00002-8 · Cited by 67
A Novel Smart Energy Management as a Service over a Cloud Computing Platform for Nanogrid Appliances
Alhasnawi, B. N., Jasim, B. H., Esteban, M. D., & Guerrero, J. M. (2020) · Sustainability · doi:10.3390/su12229686 · Cited by 49
Metadata
- Authors
- Paterakis, N. G., Erdinc, O., Bakirtzis, A. G., & Catalao, J. P. S.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2015-12
- Volume
- 11
- Issue
- 6
- Pages
- 1509-1519
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W2188280455
- Cited by
- 429
- References
- 28
- FWCI
- 16.68
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Optimal Household Appliances Scheduling Under Day-Ahead Pricing and Load-Shaping Demand Response Strategies. https://app.cochat.ai/papers/10.1109/tii.2015.2438534
- The paper
- Paterakis, N. G., Erdinc, O., Bakirtzis, A. G., & Catalao, J. P. S. (2015). Optimal Household Appliances Scheduling Under Day-Ahead Pricing and Load-Shaping Demand Response Strategies. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2015.2438534
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
