Tackling climate change with machine learning
Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
[HTML][HTML] Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis
The world has witnessed a significant population shift to urban areas over the past few
decades. Urban areas account for about two-thirds of the world's total primary energy …
decades. Urban areas account for about two-thirds of the world's total primary energy …
Machine learning applications in urban building energy performance forecasting: A systematic review
In developed countries, buildings are involved in almost 50% of total energy use and 30% of
global green-house gas emissions. Buildings' operational energy is highly dependent on …
global green-house gas emissions. Buildings' operational energy is highly dependent on …
[HTML][HTML] From concept to application: A review of use cases in urban building energy modeling
Urban building energy modeling (UBEM) is a bottom-up, physics-based approach to
simulate the thermal performance of new or existing neighborhoods and cities. The field has …
simulate the thermal performance of new or existing neighborhoods and cities. The field has …
[HTML][HTML] Machine learning for spatial analyses in urban areas: a sco** review
The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …
and maintain social justice have been widely recognized. Along with the digitization …
Applications of artificial intelligence in engineering and manufacturing: a systematic review
Engineering and manufacturing processes and systems designs involve many challenges,
such as dynamism, chaotic behaviours, and complexity. Of late, the arrival of big data, high …
such as dynamism, chaotic behaviours, and complexity. Of late, the arrival of big data, high …
[HTML][HTML] Building performance simulation in the brave new world of artificial intelligence and digital twins: A systematic review
In an increasingly digital world, there are fast-paced developments in fields such as Artificial
Intelligence, Machine Learning, Data Mining, Digital Twins, Cyber-Physical Systems and the …
Intelligence, Machine Learning, Data Mining, Digital Twins, Cyber-Physical Systems and the …
A deep residual neural network identification method for uneven dust accumulation on photovoltaic (PV) panels
S Fan, Y Wang, S Cao, B Zhao, T Sun, P Liu - Energy, 2022 - Elsevier
Uneven dust accumulation can significantly influence the thermal balance between different
regions of photovoltaic (PV) panels, leading to a sharp decrease in power generation …
regions of photovoltaic (PV) panels, leading to a sharp decrease in power generation …
[HTML][HTML] A data-driven approach for multi-scale GIS-based building energy modeling for analysis, planning and support decision making
Urban planners, local authorities, and energy policymakers often develop strategic
sustainable energy plans for the urban building stock in order to minimize overall energy …
sustainable energy plans for the urban building stock in order to minimize overall energy …
Accelerated environmental performance-driven urban design with generative adversarial network
The morphological design of urban blocks greatly affects the outdoor environment.
Currently, performance-based urban and building design relies on a time-consuming …
Currently, performance-based urban and building design relies on a time-consuming …