Energy performance of buildings: A statistical approach to marry calculated demand and measured consumption

Hörner, Michael; Lichtmeß, Markus

doi:10.1007/s12053-018-9664-2

Cited by 10 publications

(2 citation statements)

References 4 publications

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“…At the same time, It allows energy efficiency to be improved through various levels of intervention. Such as identification of urgent actions, replacement Luxemburg 2019 [18] Proposal of a methodology to estimate the energy demand rating of uncertified buildings through machine learning and existing EPCs…”

Section: Relevance Of This Studymentioning

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

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Section: Relevance Of This Studymentioning

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

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“…The basic building performance and the calculated delivered energy demand are included in the database. However, data on actual user behavior and climate on the building site are not recorded (Hörner and Lichtmeß 2018). The EPC database increasingly provides for an overview of the energy standard in the European building stock and supports statistical analysis.…”

Section: Introductionmentioning

confidence: 99%

A study of citywide urban residential energy information system for the building energy efficiency management: a cluster model of seven typical cities in China

et al. 2019

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The lack of empirical data demonstrating the relationship between influencing factors and building energy performance is one of the primary barriers in energy efficiency management. A citywide residential energy information database and the data-based analyt-ical methodology help increase the knowledge about the local real estate situation, explore energy efficiency opportunities and measures, financial investment, and market trend in the local building stocks, and make the reasonable policies as well. Few databases were established in USA and Europe only covering the uilding information and energy use, while there are lack of an indices system and database of building energy efficiency information in China. Therefore, in this study, a definition of urban residential energy infor-mation system is suggested, covering the parameters of building characteristics, household characteristics, possession and operation of domestic appliances, indoor thermal environment, climate condition, energy market, economic level, municipal infrastructure, and energy use consequence. Consequently, a database is developed to collect the raw data in seven typical cities in China. A classification model is established by Quantitative The-ory III to classify and characterize the urban residential energy use systems into three different city groups, and suggestions are made to guide the energy efficiency work for different city groups. The case study is a good example to demonstrate the methodology and the anal-ysis provided a helpful reference for the citywide build-ing energy efficiency management.

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Probabilistic Energy Efficiency Analysis in Buildings Using Statistical Methods

Bordbari

Rastegar

Seifi

2019

Iran J Sci Technol Trans Electr Eng

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Energy performance of buildings: A statistical approach to marry calculated demand and measured consumption

Cited by 10 publications

References 4 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

A study of citywide urban residential energy information system for the building energy efficiency management: a cluster model of seven typical cities in China

Probabilistic Energy Efficiency Analysis in Buildings Using Statistical Methods

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