[HTML][HTML] Energy performance of buildings directive implementation in southern European countries: a review

P Olasolo-Alonso, LM López-Ochoa… - Energy and …, 2023 - Elsevier
Abstract The Energy Performance of Buildings Directive covers a broad range of policies
and supportive measures designed to help European Union national governments boost …

[HTML][HTML] Characterisation of thermal energy dynamics of residential buildings with scarce data

JP Real, C Rasmussen, R Li, K Leerbeck… - Energy and …, 2021 - Elsevier
Buildings account for a large portion of the total energy consumption and they might serve
as a significant thermal storage capacity that can be advantageous for the future energy grid …

[HTML][HTML] A data-driven framework for characterising building archetypes: A mixed effects modelling approach

JP Real, JK Møller, R Li, H Madsen - Energy, 2022 - Elsevier
Building archetypes are a common solution to study the energy demand of cities and
districts. These are generally based on building information such as construction year and …

[HTML][HTML] Experimental and CFD investigation on the application for aerogel insulation in buildings

S Golder, R Narayanan, MR Hossain, MR Islam - Energies, 2021 - mdpi.com
Reducing building energy consumption is a significant challenge and is one of the most
important research areas worldwide. Insulation will help to keep the building's desired …

[HTML][HTML] A case study of map** the heating storage capacity in a multifamily building within a district heating network in mid-sweden

A Hayati, J Akander, M Eriksson - Buildings, 2022 - mdpi.com
The building sector accounts for a third of the total energy use in Sweden, and district
heating provides half of the heating needs. The peak demand loads within a district heating …

[HTML][HTML] A data-driven method for unsupervised electricity consumption characterisation at the district level and beyond

G Mor, J Cipriano, G Martirano, F Pignatelli, C Lodi… - Energy Reports, 2021 - Elsevier
A bottom-up electricity characterisation methodology of the building stock at the local level is
presented. It is based on the statistical learning analysis of aggregated energy consumption …

[HTML][HTML] Data-Driven Estimation of Time-Varying Stochastic Effects on Building Heat Consumption Related to Human Interactions

C Rasmussen, N Lassen, P Bacher, TH Dokka… - Energies, 2023 - mdpi.com
Within the field of statistical modelling and data-driven characterisation of buildings' energy
performance, the focus is typically on parameter estimation of the building envelope and the …

Investigating energy use in a city district in nordic climate using energy signature

M Eriksson, J Akander, B Moshfegh - Energies, 2022 - mdpi.com
This paper focuses on multi-family buildings in a Swedish city district, erected between 1965
and 1973, which are now in need of renovation. For the two types of multi-family buildings in …

[HTML][HTML] Bayesian Workflow and Hidden Markov Energy-Signature Model for Measurement and Verification

S Rouchier - Energies, 2022 - mdpi.com
A Bayesian data analysis workflow offers great advantages to the process of measurement
and verification, including the estimation of savings uncertainty regardless of the chosen …

[HTML][HTML] Radiators Adjustment in Multi-Family Residential Buildings—An Analysis Based on Data from Heat Meters

K Bandurski, A Górka, H Koczyk - Energies, 2023 - mdpi.com
Energy is consumed in buildings through the use of various types of energy systems, which
are controlled by the occupants via provided interfaces. The quality of this control should be …