Data-Driven Analysis of Time of Day Pricing for Residential Consumers
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...
Main Author: | Nejad, Saba |
---|---|
Other Authors: | Dahleh, Munther A. |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2022
|
Online Access: | https://hdl.handle.net/1721.1/144969 |
Similar Items
-
Daily life and demand: an analysis of intra-day variations in residential electricity consumption with time-use data
by: Satre-Meloy, A, et al.
Published: (2019) -
Consumer Confidence and Residential Property Price: Evidence for Malaysia
by: lsmail, Nur Hafizah, et al.
Published: (2021) -
Data-driven rental price analysis
by: Tey, Kai Seong
Published: (2024) -
Linking intra-day variations in residential electricity demand loads to consumers' activities: What's missing?
by: Ramirez-Mendiola, J, et al.
Published: (2017) -
Data-driven pricing
by: Le Guen, Thibault
Published: (2009)