MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Data-Driven Analysis of Time of Day Pricing for Residential Consumers

Author(s)
Nejad, Saba
Thumbnail
DownloadThesis PDF (6.992Mb)
Advisor
Dahleh, Munther A.
Terms of use
In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/
Metadata
Show full item record
Abstract
Time-of-day (or dynamic time-of-use, dToU) pricing is a mechanism by which system operators try to lower stress on the grid in times of high demand. The price for high demand periods is pre-set but the times of day they are applied is dynamic. Data on how residential consumers respond to the pricing scheme can inform more accurate models of consumption to maintain the integrity of the grid while lowering consumers' utility bills and optimizing renewable use. In this thesis, I analyze the data from a time-of-day pricing trial in London to see whether the treatment was effective in lowering consumption. I do this analysis using four different models and compare the accuracy of each and the results; an aggregated linear regression model, a multi linear regression model, an aggregated multi linear regression model, and a random forest regression time series model. I found that the time-of-day pricing during the trial was effective in lowering consumption and costs. A dependence on households' socio-economic status was observed.
Date issued
2022-05
URI
https://hdl.handle.net/1721.1/144969
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Publisher
Massachusetts Institute of Technology

Collections
  • Graduate Theses

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.