[HTML][HTML] Deployment and control of adaptive building facades for energy generation, thermal insulation, ventilation and daylighting: A review

H Alkhatib, P Lemarchand, B Norton… - Applied Thermal …, 2021 - Elsevier
A major objective in the design and operation of buildings is to maintain occupant comfort
without incurring significant energy use. Particularly in narrower-plan buildings, the …

Towards developing a systematic knowledge trend for building energy consumption prediction

Q Qiao, A Yunusa-Kaltungo, RE Edwards - Journal of Building Engineering, 2021 - Elsevier
The rapid depletion of natural sources of energy, coupled with increasing global population
has triggered the emergence of various techniques and strategies for building energy …

Explainable long-term building energy consumption prediction using QLattice

S Wenninger, C Kaymakci, C Wiethe - Applied Energy, 2022 - Elsevier
The global building sector is responsible for nearly 40% of total carbon emissions, offering
great potential to move closer to set climate goals. Energy performance certificates designed …

[HTML][HTML] Short term electricity load forecasting for institutional buildings

Y Kim, H Son, S Kim - Energy Reports, 2019 - Elsevier
Peak load demand forecasting is important in building unit sectors, as climate change,
technological development, and energy policies are causing an increase in peak demand …

Predicting energy consumption in residential buildings using advanced machine learning algorithms

F Dinmohammadi, Y Han, M Shafiee - Energies, 2023 - mdpi.com
The share of residential building energy consumption in global energy consumption has
rapidly increased after the COVID-19 crisis. The accurate prediction of energy consumption …

[HTML][HTML] Role of input features in developing data-driven models for building thermal demand forecast

C Wang, X Li, H Li - Energy and Buildings, 2022 - Elsevier
The energy consumption of buildings accounts for a major share in the modern society.
Accurate forecast of building thermal demand is of great significance to both building …

Building's hourly electrical load prediction based on data clustering and ensemble learning strategy

K Li, J Zhang, X Chen, W Xue - Energy and Buildings, 2022 - Elsevier
The short-term power load forecasting of buildings plays a key role in peak demand
management and power generation scheduling. Many studies have shown that ensemble …

[HTML][HTML] Feature selection strategy for machine learning methods in building energy consumption prediction

Q Qiao, A Yunusa-Kaltungo, RE Edwards - Energy Reports, 2022 - Elsevier
Building energy management systems (BEMS) have somewhat standardised building
energy consumption data formats, thereby enhancing their compatibility with the relevant ML …

Leveraging advanced ensemble models to increase building energy performance prediction accuracy in the residential building sector

K Konhäuser, S Wenninger, T Werner, C Wiethe - Energy and Buildings, 2022 - Elsevier
Accurate predictions for buildings' energy performance (BEP) are crucial for retrofitting
investment decisions and building benchmarking. With the increasing data availability and …

Adaptive façades: review of designs, performance evaluation, and control systems

X Zhang, H Zhang, Y Wang, X Shi - Buildings, 2022 - mdpi.com
Adaptive building envelope systems can manage energy and mass transformation between
indoor and outdoor environments, which contributes to the achievement of environmental …