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Cited by 105Smart Grid Energy ManagementElectric Vehicles and InfrastructureElectric Power System Optimization

Algorithms for a spot price responding residential load controller

Schweppe, F.C., Daryanian, B., Tabors, R.D.·1989·IEEE Transactions on Power Systems
DOI 10.1109/59.193823
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Abstract

A description is given of the algorithms designed for use in residential load control systems. The authors present the functions to be fulfilled by such a price-responsive device and describe the end-user devices available in residences and the control logics applicable to each. It is concluded that there is a need to understand customer attitudes and acceptance in the design of the response strategies and in the design of the man-machine interface.>

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Crossref · 10.1109/59.193823

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4 of 4 references verified0 citation errors · 0 not checkable

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  • Combining these predictions with disaggregated energy data allows for the efficient automation of household energy consumption.

    “Combining these predictions with disaggregated energy data allows for the efficient automation of household energy consumption, ideally through products that present interpretable insights to the consumer (e.g., [721,760]).”

    From Tackling climate change with machine learning (2023) · cites this paper as [721]

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Related

Authors
Schweppe, F. C., Daryanian, B., & Tabors, R. D.
Affiliations
Massachusetts Institute of Technology (US)
ORCID
Tabors, R.D.
Venue
IEEE Transactions on Power Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
1989-05
Volume
4
Issue
2
Pages
507-516
ISSN
0885-8950 (ISSN-L)
DOI
10.1109/59.193823
OpenAlex
W2112964016
Cited by
105
References
4
Citations by year
2026: 1 · 2023: 2 · 2022: 3 · 2021: 6 · 2020: 5 · 2019: 4 · 2018: 5 · 2017: 5 · 2016: 13 · 2015: 7 · 2014: 9 · 2013: 9 · 2012: 12
FWCI
0.94
Type
journal article
Language
en
Open access
closed
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations
IEEE Transactions on Power Systems (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
Keywords
price-responsive loads, end-user devices, control logic, consumer acceptance, human-machine interaction, demand response

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