Statistical models to infer gas end-use efficiency in individual dwellings using smart metered data

Oliver, Ronan; Duffy, Aidan; Kilgallon, Ian

doi:10.1016/j.scs.2016.01.009

Search citation statements

Order By: Relevance

Paper Sections

Select...

Policymakers and Occupants1

Gas Demand Information1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2018

2024

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 5 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is achieved by strengthening inspection tasks and incorporating emerging technologies such as BIM and smart meters. These are already being used in the construction sector and in energy efficiency benchmarking [27].…”

Section: Policymakers and Occupantsmentioning

confidence: 99%

Evaluation of cost-effective measures for the renovation of existing dwellings in the framework of the energy certification system: A case study in Norway

Caceres

Karlshøj²,

Vik

et al. 2022

Energy and Buildings

View full text Add to dashboard Cite

Section: Policymakers and Occupantsmentioning

confidence: 99%

Evaluation of cost-effective measures for the renovation of existing dwellings in the framework of the energy certification system: A case study in Norway

Caceres

Karlshøj²,

Vik

et al. 2022

Energy and Buildings

View full text Add to dashboard Cite

“…For instance, Squartini et al (2015) employed sampling intervals of 1, 6, 12 and 24 hours to predict the natural gas demand. Olivera et al (2016) detected gas leakage using a sampling interval of 1 minute. Little was reported on the highresolution (with sampling interval in seconds) digital metering and its impact on gas demand prediction.…”

Section: Gas Demand Informationmentioning

confidence: 99%

Integrated intelligent water-energy metering systems and informatics: Visioning a digital multi-utility service provider

Stewart

Nguyen

Beal

et al. 2018

Environmental Modelling & Software

View full text Add to dashboard Cite

Advanced metering technologies coupled with informatics creates an opportunity to form digital multiutility service providers. These providers will be able to concurrently collect a customers' medium-high resolution water, electricity and gas demand data and provide user-friendly platforms to feed this information back to customers and supply/distribution utility organisations. Providers that can install low-cost integrative systems will reap the benefits of derived operational synergies and access to mass markets not bounded by historical city, state or country limits. This paper provides a vision of the required transformative process and features of an integrated multi-utility service provider covering the system architecture, opportunities and benefits, impediments and strategies, and business opportunities.The heart of the paper is focused on demonstrating data modelling processes and informatics opportunities for contemporaneously collected demand data, through illustrative examples and four informative water-energy nexus case studies. Finally, the paper provides an overview of the transformative R&D priorities to realise the vision.

show abstract

Optimisation of retrofit wall insulation: An Irish case study

Muddu

Gowda²,

Robinson

et al. 2021

Energy and Buildings

View full text Add to dashboard Cite

Statistical models to infer gas end-use efficiency in individual dwellings using smart metered data

Cited by 5 publications

References 3 publications

Evaluation of cost-effective measures for the renovation of existing dwellings in the framework of the energy certification system: A case study in Norway

Evaluation of cost-effective measures for the renovation of existing dwellings in the framework of the energy certification system: A case study in Norway

Integrated intelligent water-energy metering systems and informatics: Visioning a digital multi-utility service provider

Optimisation of retrofit wall insulation: An Irish case study

Contact Info

Product

Resources

About