[HTML][HTML] Future energy insights: Time-series and deep learning models for city load forecasting

N Maleki, O Lundström, A Musaddiq, J Jeansson… - Applied Energy, 2024 - Elsevier
Most of the utility meters in Sweden are now integrated with Internet of Things (IoT)
technology. This modern approach significantly enhances our understanding of energy …

Fusing Transformer and diffusion for high-resolution prediction of daylight illuminance and glare based on sparse ceiling-mounted input

Y Huang, T Zeng, M Jia, J Yang, W Xu, S Lu - Building and Environment, 2025 - Elsevier
Accurate prediction of workplane daylight illuminance and eye-height glare is crucial for
lighting control. Existing studies used machine learning to predict illuminance at …

UAV-BIM-BEM: An automatic unmanned aerial vehicles-based building energy model generation platform

H Guo, Z Chen, X Chen, J Yang, C Song, Y Chen - Energy and Buildings, 2025 - Elsevier
Many existing and aging buildings were in urgent need of upgrades and renovations, but
lack accurate geometric and energy consumption information. This study introduced an …

[HTML][HTML] Energy consumption in buildings: A compilation of current studies

FJ Zarco-Soto, IM Zarco-Soto, SSS Ali… - Energy Reports, 2025 - Elsevier
Although the area occupied by cities is very small, they consume between 60% and 80% of
the energy. Specifically, in buildings it reaches 36%. For this reason, any measure that …

Assessing discrepancies in heat demand: A case study of diverse energy management systems within the energy performance certificate framework in a student's …

M Kaczmarczyk, R Książek, E Hałaj, K Gdowska… - Energy and …, 2025 - Elsevier
This study compares energy certification with actual energy consumption in a university
residence, focusing on two control systems: a conventional system with thermostatic heads …

[HTML][HTML] Prediction of electricity consumption using an innovative deep energy predictor model for enhanced accuracy and efficiency

C Ragupathi, S Dhanasekaran, N Vijayalakshmi… - Energy Reports, 2024 - Elsevier
Accurate forecasting of electricity consumption is crucial for efficient energy management
and planning. Traditional models often struggle to capture the complex, nonlinear …

Based on the improved fuzzy analytic hierarchy and the TSE-MLR model energy consumption prediction of university: A case study

X Chen, X Peng, Y Li, B He - Heliyon, 2024 - cell.com
The accurate prediction of building energy consumption on university campuses is a
significant research area. Current studies often focus on predicting the energy consumption …

Sustainable Innovation in Ceiling: Exploring the Environmental Benefits of a New Plaster–Rock Wool Layered Recycled Composite

M Álvarez, D Ferrández, P Guijarro-Miragaya… - Applied Sciences, 2024 - mdpi.com
This paper presents a new layered plaster-based material for building purposes. First, a new
manufacturing machine was designed to make the elaboration process easier. This …

Numerical Study of the Solar Energy-Powered Embedded Pipe Envelope System

L Wang, CC Onn, BT Chew, W Li, Y Li - Buildings, 2024 - mdpi.com
This study introduces a Solar Energy-Powered Embedded Pipe Envelope System (SEPES)
designed to enhance indoor thermal comfort and reduce heating loads during the heating …

Vibrational Genetic Algorithm-Based Deployment of Wireless Sensor Networks With Heterogeneous Nodes in Irregularly Shaped Areas

S Birtane, OK Sahingoz, H Korkmaz - IEEE Access, 2024 - ieeexplore.ieee.org
Over the past few years, there has been a significant emphasis on improving the capabilities
of Wireless Sensor Networks (WSNs) by making advancements in communication protocols …