2019
DOI: 10.1016/j.enbuild.2018.11.002
|View full text |Cite
|
Sign up to set email alerts
|

Detailed comparison of energy-related time-use diaries and monitored residential electricity demand

Abstract: Understanding demand flexibility in the residential sector depends on understanding the causal link between household occupants' activities and resulting electricity demand. Self-reported electricity use via time-use diaries is often used as a direct descriptor of occupants' activities and has been integrated into residential electricity demand simulation models. Conversely, smart meter electricity demand data is increasingly used to infer occupants' activities. Underlying both these approaches are a number of… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
8
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
10

Relationship

1
9

Authors

Journals

citations
Cited by 13 publications
(8 citation statements)
references
References 38 publications
0
8
0
Order By: Relevance
“…The energy consumptions resulting from simulations are immediately compared with the actual ones entered by the user [54,55] and with the elaborated benchmarks. Those ones were computed on the basis of the Italian TSO report [39] and of the ISTAT survey on household energy consumption [56].…”
Section: Methodsmentioning
confidence: 99%
“…The energy consumptions resulting from simulations are immediately compared with the actual ones entered by the user [54,55] and with the elaborated benchmarks. Those ones were computed on the basis of the Italian TSO report [39] and of the ISTAT survey on household energy consumption [56].…”
Section: Methodsmentioning
confidence: 99%
“…At the same time, the rapid development of renewable energy technologies, varying in time and season, is likely to exacerbate the temporal mismatch between supply and demand, causing many countries to consider how future energy systems might be managed (cf. Suomalainen et al, 2019).…”
Section: Routines Rhythms and Random Activities In Time Spacementioning
confidence: 99%
“…Clearly the aggregated data used in this paper cannot determine per sector consumption patterns, nor can it provide evidence of specifically which electricity services and energy-using practices changed during the UK's Covid-19 lockdown. This must wait for more detailed analysis of per sector electricity consumption data and especially in-home appliance data as a proxy for energyusing practices (Durand-Daubin 2013;Palmer et al 2013a;Suomalainen et al 2019).…”
Section: Discussionmentioning
confidence: 99%