Ten questions concerning data-driven modelling and forecasting of operational energy demand at building and urban scale
Buildings account for over a third of end energy demand in many countries worldwide.
Modelling this demand accurately marks the first step in producing forecasts that can help …
Modelling this demand accurately marks the first step in producing forecasts that can help …
Triz method for urban building energy optimization: Gwo-sarima-lstm forecasting model
With the advancement of global climate change and sustainable development goals, urban
building energy consumption optimization and carbon emission reduction have become the …
building energy consumption optimization and carbon emission reduction have become the …
Creating synthetic energy meter data using conditional diffusion and building metadata
Advances in machine learning and increased computational power have driven progress in
energy-related research. However, limited access to private energy data from buildings …
energy-related research. However, limited access to private energy data from buildings …
What-if: A causal machine learning approach to control-oriented modelling for building thermal dynamics
F Jiang, H Kazmi - Applied Energy, 2025 - Elsevier
Operational optimization of buildings can improve efficiency, and reduce costs and
emissions. This optimization typically relies on a model of the building thermal dynamics …
emissions. This optimization typically relies on a model of the building thermal dynamics …
Forecasting price spikes in day-ahead electricity markets: techniques, challenges, and the road ahead
S Sheybanivaziri, J Le Dréau, H Kazmi - 2024 - openaccess.nhh.no
Due to the increase in renewable energy production and global socioeconomic turmoil, the
volatility in electricity prices has considerably increased in recent years, leading to extreme …
volatility in electricity prices has considerably increased in recent years, leading to extreme …
Introducing the Cool, Quiet City Competition: Predicting Smartwatch-Reported Heat and Noise with Digital Twin Metrics
The productivity and satisfaction of humans in the built environment is impacted significantly
by their exposure to high temperature and various noise sources. This paper outlines the city …
by their exposure to high temperature and various noise sources. This paper outlines the city …
Data science skills for the built environment: Lessons learned from a massive open online Python course for construction, architecture, and engineering
C Miller, C Tan - E3S Web of Conferences, 2024 - e3s-conferences.org
It's not just the models, techniques, or technologies that improve building performance; the
digital skills of built environment professionals also play a significant part. The deluge of …
digital skills of built environment professionals also play a significant part. The deluge of …
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 …
Event-Based Energy Impact Tracking and Forecasting with Limited Measurements for Rooftop Units
MR Brambley - 2024 - search.proquest.com
Packaged air conditioning units and heat pumps, also known as rooftop units (RTUs), are
responsible for almost 133 billion kWh of electricity usage annually on site for space cooling …
responsible for almost 133 billion kWh of electricity usage annually on site for space cooling …
[LIVRE][B] Metamodeling of Energy and Operational Carbon in Detached Accessory Dwelling Units
P Pape - 2022 - search.proquest.com
The rapidly escalating cost of housing has created a crisis in the United States that stems
from a lack of housing supply, which is exacerbated by single-family zoning. While revising …
from a lack of housing supply, which is exacerbated by single-family zoning. While revising …