Toward Large Energy Models: A comparative study of Transformers' efficacy for energy forecasting
Buildings' significant contribution to global energy demand and emissions highlights the
need for precise energy forecasting for effective management. Existing research on energy …
need for precise energy forecasting for effective management. Existing research on energy …
Machine learning model with a novel self–adjustment method: A powerful tool for predicting biomass ash fusibility and enhancing its potential applications
Biomass ash has been extensively studied for its potential applications, owing to its high
content of alkali and alkaline earth metallic species (AAEMs). These AAEMs can act as …
content of alkali and alkaline earth metallic species (AAEMs). These AAEMs can act as …
[HTML][HTML] Clustering Method Comparison for Rural Occupant's Behavior Based on Building Time-Series Energy Data
X Liu, S Zhang, X Wang, R Wu, J Yang, H Zhang, J Wu… - Buildings, 2024 - mdpi.com
The purpose of this research is to compare clustering methods and pick up the optimal
clustered approach for rural building energy consumption data. Research undertaken so far …
clustered approach for rural building energy consumption data. Research undertaken so far …
[HTML][HTML] Building energy characteristic evaluation in terms of energy efficiency and ecology
M Kaczmarczyk - Energy Conversion and Management, 2024 - Elsevier
The assessment of energy efficiency and the environmental impact of building operation, in
energy terms, determine to a large extent the energy intensity of the housing sector as a …
energy terms, determine to a large extent the energy intensity of the housing sector as a …
[HTML][HTML] Automatic standard building category classification from smart meter data–A supervised learning approach
Increased availability of smart meter data offers better insight into buildings' electricity usage.
By classifying smart meter data by building type and presence of heating appliances, we can …
By classifying smart meter data by building type and presence of heating appliances, we can …
[HTML][HTML] Consequences of Non-Compliance with Technological Procedures in the Realisation of Construction Objects from the Point of View of Heat Consumption for …
J Hlina, P Makýš, P Šťastný, L Paulovičová - Energies, 2024 - mdpi.com
This article focuses on the energy performance of buildings with an emphasis on the
consequences of non-compliance with technological practices during the building process …
consequences of non-compliance with technological practices during the building process …
Sampling approaches to reduce very frequent seasonal time series
A Baldo, PJS Ferreira, J Mendes‐Moreira - Expert Systems, 2025 - Wiley Online Library
With technological advancements, much data is being captured by sensors, smartphones,
wearable devices, and so forth. These vast datasets are stored in data centres and utilized to …
wearable devices, and so forth. These vast datasets are stored in data centres and utilized to …
Feature-based identification of distributed energy resources in buildings from aggregated smart meter data
A Canaydin, J Depoortere… - 2024 IEEE PES Innovative …, 2024 - ieeexplore.ieee.org
Distributed energy resources (DERs), including electric vehicles, heat pumps and rooftop
solar photovolatic systems, are becoming increasingly common-place in Europe. On the one …
solar photovolatic systems, are becoming increasingly common-place in Europe. On the one …
Building energy load profile prediction
A Milá Murillo - 2024 - upcommons.upc.edu
The rising demand for sustainable energy management necessitates precise planning and
modeling of building energy consumption. This thesis develops a comprehensive machine …
modeling of building energy consumption. This thesis develops a comprehensive machine …