Residential demand for electricity by time of day: an econometric approach. Final report

This report uses data from a time-of-day metering survey of residential electricity use and a FEA-sponsored peak-load-pricing field test conducted on randomly selected customers of the Connecticut Light and Power Co. to analyze the level and shape of the residential demand cycle for electricity. Thi...

Full description

Bibliographic Details
Main Authors: Hendricks, W., Koenker, R., Poirier, D.J.
Language:unknown
Published: 2020
Subjects:
Online Access:http://www.osti.gov/servlets/purl/6860367
https://www.osti.gov/biblio/6860367
https://doi.org/10.2172/6860367
id ftosti:oai:osti.gov:6860367
record_format openpolar
spelling ftosti:oai:osti.gov:6860367 2023-07-30T04:05:25+02:00 Residential demand for electricity by time of day: an econometric approach. Final report Hendricks, W. Koenker, R. Poirier, D.J. 2020-09-14 application/pdf http://www.osti.gov/servlets/purl/6860367 https://www.osti.gov/biblio/6860367 https://doi.org/10.2172/6860367 unknown http://www.osti.gov/servlets/purl/6860367 https://www.osti.gov/biblio/6860367 https://doi.org/10.2172/6860367 doi:10.2172/6860367 29 ENERGY PLANNING POLICY AND ECONOMY 32 ENERGY CONSERVATION CONSUMPTION AND UTILIZATION PEAK-LOAD PRICING ECONOMETRICS POWER DEMAND MEASURING METHODS RESIDENTIAL SECTOR APPLIANCES CONNECTICUT CONSUMPTION RATES DEMAND FACTORS ECONOMIC IMPACT SPACE HEATING CHARGES ECONOMICS HEATING NORTH ATLANTIC REGION 2020 ftosti https://doi.org/10.2172/6860367 2023-07-11T10:52:20Z This report uses data from a time-of-day metering survey of residential electricity use and a FEA-sponsored peak-load-pricing field test conducted on randomly selected customers of the Connecticut Light and Power Co. to analyze the level and shape of the residential demand cycle for electricity. This analysis is carried out in two steps. The demand cycles for individual customers are first parameterized by a periodic cubic spline. The resulting parameters are then analyzed cross-sectionally, using demographic characteristics of the customers. This analysis provides estimates of the impact of such characteristics as space heating, electric water heating, and stock of electrical appliances, on the level and shape of the demand cycle. The impact of the peak-load pricing treatment is also analyzed. Other/Unknown Material North Atlantic SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 29 ENERGY PLANNING
POLICY AND ECONOMY
32 ENERGY CONSERVATION
CONSUMPTION
AND UTILIZATION
PEAK-LOAD PRICING
ECONOMETRICS
POWER DEMAND
MEASURING METHODS
RESIDENTIAL SECTOR
APPLIANCES
CONNECTICUT
CONSUMPTION RATES
DEMAND FACTORS
ECONOMIC IMPACT
SPACE HEATING
CHARGES
ECONOMICS
HEATING
NORTH ATLANTIC REGION
spellingShingle 29 ENERGY PLANNING
POLICY AND ECONOMY
32 ENERGY CONSERVATION
CONSUMPTION
AND UTILIZATION
PEAK-LOAD PRICING
ECONOMETRICS
POWER DEMAND
MEASURING METHODS
RESIDENTIAL SECTOR
APPLIANCES
CONNECTICUT
CONSUMPTION RATES
DEMAND FACTORS
ECONOMIC IMPACT
SPACE HEATING
CHARGES
ECONOMICS
HEATING
NORTH ATLANTIC REGION
Hendricks, W.
Koenker, R.
Poirier, D.J.
Residential demand for electricity by time of day: an econometric approach. Final report
topic_facet 29 ENERGY PLANNING
POLICY AND ECONOMY
32 ENERGY CONSERVATION
CONSUMPTION
AND UTILIZATION
PEAK-LOAD PRICING
ECONOMETRICS
POWER DEMAND
MEASURING METHODS
RESIDENTIAL SECTOR
APPLIANCES
CONNECTICUT
CONSUMPTION RATES
DEMAND FACTORS
ECONOMIC IMPACT
SPACE HEATING
CHARGES
ECONOMICS
HEATING
NORTH ATLANTIC REGION
description This report uses data from a time-of-day metering survey of residential electricity use and a FEA-sponsored peak-load-pricing field test conducted on randomly selected customers of the Connecticut Light and Power Co. to analyze the level and shape of the residential demand cycle for electricity. This analysis is carried out in two steps. The demand cycles for individual customers are first parameterized by a periodic cubic spline. The resulting parameters are then analyzed cross-sectionally, using demographic characteristics of the customers. This analysis provides estimates of the impact of such characteristics as space heating, electric water heating, and stock of electrical appliances, on the level and shape of the demand cycle. The impact of the peak-load pricing treatment is also analyzed.
author Hendricks, W.
Koenker, R.
Poirier, D.J.
author_facet Hendricks, W.
Koenker, R.
Poirier, D.J.
author_sort Hendricks, W.
title Residential demand for electricity by time of day: an econometric approach. Final report
title_short Residential demand for electricity by time of day: an econometric approach. Final report
title_full Residential demand for electricity by time of day: an econometric approach. Final report
title_fullStr Residential demand for electricity by time of day: an econometric approach. Final report
title_full_unstemmed Residential demand for electricity by time of day: an econometric approach. Final report
title_sort residential demand for electricity by time of day: an econometric approach. final report
publishDate 2020
url http://www.osti.gov/servlets/purl/6860367
https://www.osti.gov/biblio/6860367
https://doi.org/10.2172/6860367
genre North Atlantic
genre_facet North Atlantic
op_relation http://www.osti.gov/servlets/purl/6860367
https://www.osti.gov/biblio/6860367
https://doi.org/10.2172/6860367
doi:10.2172/6860367
op_doi https://doi.org/10.2172/6860367
_version_ 1772817304445255680