Linking design and operation phase energy performance analysis through regression-based approaches
The reduction of energy usage and environmental impact of the built environment and
construction industry is crucial for sustainability on a global scale. We are working towards …
construction industry is crucial for sustainability on a global scale. We are working towards …
IoT platform for Smart Cities: Requirements and implementation case studies
E Patti, A Acquaviva - 2016 IEEE 2nd International Forum on …, 2016 - ieeexplore.ieee.org
Internet-of-Things (IoT) is considered as the key player to move forward the Smart City
vision. Indeed, pervasive devices can enable a fain-grained monitoring of buildings and …
vision. Indeed, pervasive devices can enable a fain-grained monitoring of buildings and …
[HTML][HTML] Zero energy concept at neighborhood level: A case study analysis
A Mavrigiannaki, K Gobakis, D Kolokotsa… - Solar Energy …, 2021 - Elsevier
The concept of zero energy has emerged as the flagship for the achievement of energy
conservation and CO 2 emissions reduction in the built environment. The implementation of …
conservation and CO 2 emissions reduction in the built environment. The implementation of …
istep, an integrated self-tuning engine for predictive maintenance in industry 4.0
D Apiletti, C Barberis, T Cerquitelli… - 2018 IEEE Intl Conf …, 2018 - ieeexplore.ieee.org
The recent expansion of IoT-enabled (Internet of Things) devices in manufacturing contexts
and their subsequent data-driven exploitation paved the way to the advent of the Industry …
and their subsequent data-driven exploitation paved the way to the advent of the Industry …
Towards an automated, fast and interpretable estimation model of heating energy demand: A data-driven approach exploiting building energy certificates
Energy performance certification is an important tool for the assessment and improvement of
energy efficiency in buildings. In this context, estimating building energy demand also in a …
energy efficiency in buildings. In this context, estimating building energy demand also in a …
[HTML][HTML] Probabilistic modelling of seasonal energy demand patterns in the transition from natural gas to hydrogen for an urban energy district
M Manfren, KM Gonzalez-Carreon… - International Journal of …, 2024 - Elsevier
The transition to a low-carbon energy system can be depicted as a “great reconfiguration”
from a socio-technical perspective that carries the risk of impact shifts. Electrification with the …
from a socio-technical perspective that carries the risk of impact shifts. Electrification with the …
Impact of calendarization on change-point models
HG Kim, SE Lee, DW Kim - Energy and Buildings, 2024 - Elsevier
Monthly resolution has been widely used in energy performance analysis, particularly in the
context of Change-Point Linear Models (CPM) for M&V, campus-wise, or city-scale analysis …
context of Change-Point Linear Models (CPM) for M&V, campus-wise, or city-scale analysis …
[HTML][HTML] Enhanced methodology for disaggregating space heating and domestic hot water heat loads of buildings in district heating networks
N Borgato, S Bordignon, E Prataviera… - Applied Thermal …, 2024 - Elsevier
This paper presents an innovative approach to disaggregate a building's global heat
consumption into space heating and domestic hot water heat load components using …
consumption into space heating and domestic hot water heat load components using …
Discovering electricity consumption over time for residential consumers through cluster analysis
This paper presents an innovative and scalable methodology named CONDUCTS
(CONsumption DUration Curve Time Series) to discover residential electricity consumption …
(CONsumption DUration Curve Time Series) to discover residential electricity consumption …
Exploiting scalable machine-learning distributed frameworks to forecast power consumption of buildings
The pervasive and increasing deployment of smart meters allows collecting a huge amount
of fine-grained energy data in different urban scenarios. The analysis of such data is …
of fine-grained energy data in different urban scenarios. The analysis of such data is …