2011
DOI: 10.2307/41615493
|View full text |Cite
|
Sign up to set email alerts
|

Energy-saving Technology Adoption under Uncertainty in the Residential Sector

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

2016
2016
2019
2019

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 18 publications
0
1
0
Order By: Relevance
“…Following [18] the mathematical models for energy in buildings can be classified in a) top-down approaches, b) bottom-up (accounting) approaches, c) approaches based on building physics, d) statistical models, and e) hybrid models. The top-down models investigate the inter-relationships of energy demand in buildings and the economy at large and are aggregate approaches [19]. The categorisation of energy models into bottom-up, top-down and hybrid is established in the literature reviewing modelling, [20].…”
mentioning
confidence: 99%
“…Following [18] the mathematical models for energy in buildings can be classified in a) top-down approaches, b) bottom-up (accounting) approaches, c) approaches based on building physics, d) statistical models, and e) hybrid models. The top-down models investigate the inter-relationships of energy demand in buildings and the economy at large and are aggregate approaches [19]. The categorisation of energy models into bottom-up, top-down and hybrid is established in the literature reviewing modelling, [20].…”
mentioning
confidence: 99%