[HTML][HTML] Review of non-domestic building stock modelling studies under socio-technical system framework
The construction industry contributes to approximately 30% of global energy consumption
and carbon dioxide emissions, necessitating urgent measures to mitigate carbon emissions …
and carbon dioxide emissions, necessitating urgent measures to mitigate carbon emissions …
[HTML][HTML] A holistic time series-based energy benchmarking framework for applications in large stocks of buildings
With the proliferation of Internet of Things (IoT) sensors and metering infrastructures in
buildings, external energy benchmarking, driven by time series analytics, has assumed a …
buildings, external energy benchmarking, driven by time series analytics, has assumed a …
[HTML][HTML] CC-GAIN: Clustering and classification-based generative adversarial imputation network for missing electricity consumption data imputation
J Hwang, D Suh - Expert Systems with Applications, 2024 - Elsevier
The widespread use of data across various fields has made missing data imputation
technology a crucial tool. High-quality data is essential for effective energy management in …
technology a crucial tool. High-quality data is essential for effective energy management in …
A Survey on the Use of Synthetic Data for Enhancing Key Aspects of Trustworthy AI in the Energy Domain: Challenges and Opportunities
To achieve the energy transition, energy and energy efficiency are becoming more and
more important in society. New methods, such as Artificial Intelligence (AI) and Machine …
more important in society. New methods, such as Artificial Intelligence (AI) and Machine …
Special issue on artificial intelligence in thermal engineering systems
The special issue “AI in Thermal Engineering” covers the most recent studies with a focus on
the applications of artificial intelligence (AI) technologies in thermal engineering systems …
the applications of artificial intelligence (AI) technologies in thermal engineering systems …
[HTML][HTML] Continual learning for energy management systems: A review of methods and applications, and a case study
An intelligent system must incrementally acquire, update, accumulate, and exploit
knowledge to navigate the real world's intricacies. This trait is frequently referred to as …
knowledge to navigate the real world's intricacies. This trait is frequently referred to as …
Signal separation and continuous missing value imputation of strain gauge in the icebreaker sensor system
HB Heo, EJ Oh, SH Park - Applied Ocean Research, 2024 - Elsevier
Korea's first icebreaking research vessel, ARAON, has been conducting icebreaking
performance tests in polar waters since 2010. These tests collect data to calculate design …
performance tests in polar waters since 2010. These tests collect data to calculate design …
Gap filling crowdsourced air temperature data in cities using data-driven approaches
Crowdsourced temperature data from citizen weather stations (CWS) in urban area offer
valuable insights into intra-urban heat distribution but are often challenged by a significant …
valuable insights into intra-urban heat distribution but are often challenged by a significant …
[HTML][HTML] Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight
Missing data are frequently observed by practitioners and researchers in the building energy
modeling community. In this regard, advanced data-driven solutions, such as Deep Learning …
modeling community. In this regard, advanced data-driven solutions, such as Deep Learning …
Statistical jump model for mixed-type data with missing data imputation
In this paper, we address the challenge of clustering mixed-type data with temporal
evolution by introducing the statistical jump model for mixed-type data. This novel framework …
evolution by introducing the statistical jump model for mixed-type data. This novel framework …