A review of strategies for building energy management system: Model predictive control, demand side management, optimization, and fault detect & diagnosis
Building energy use is expected to grow by more than 40% in the next 20 years. Electricity
remains the largest energy source consumed by buildings, and that demand is growing. To …
remains the largest energy source consumed by buildings, and that demand is growing. To …
Data-driven prediction and optimization toward net-zero and positive-energy buildings: A systematic review
SN Mousavi, MG Villarreal-Marroquín… - Building and …, 2023 - Elsevier
Recent advances toward sustainable cities have promoted the concept of near-zero energy
consumption. A Positive Energy Building (PEB) model has been developed by the European …
consumption. A Positive Energy Building (PEB) model has been developed by the European …
[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 …
Prediction of heating and cooling loads based on light gradient boosting machine algorithms
J Guo, S Yun, Y Meng, N He, D Ye, Z Zhao, L Jia… - Building and …, 2023 - Elsevier
Abstract Machine learning models have been widely used to study the prediction of heating
and cooling loads in residential buildings. However, most of these methods use the default …
and cooling loads in residential buildings. However, most of these methods use the default …
Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making
Non-domestic buildings contribute 20% of the UK's annual carbon emissions. A contribution
exacerbated by its ageing stock of which only 7% is considered new-build. Consequently …
exacerbated by its ageing stock of which only 7% is considered new-build. Consequently …
Machine learning for energy performance prediction at the design stage of buildings
The substantial amount of energy consumption in buildings and the associated adverse
effects prompts the importance of understanding building energy efficiency. Develo** an …
effects prompts the importance of understanding building energy efficiency. Develo** an …
Prediction of residential district heating load based on machine learning: A case study
Z Wei, T Zhang, B Yue, Y Ding, R **ao, R Wang, X Zhai - Energy, 2021 - Elsevier
Heating load prediction plays an important role in supporting the operation of a residential
district energy station. To find out the most suitable prediction algorithm, seven popular …
district energy station. To find out the most suitable prediction algorithm, seven popular …
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 …
rapidly increased after the COVID-19 crisis. The accurate prediction of energy consumption …
Improved Harris Hawks optimization with hybrid deep learning based heating and cooling load prediction on residential buildings
In digital era, energy efficient building remains a hot research topic because of increasing
concern regarding their environmental impact and energy consumption. Designing a …
concern regarding their environmental impact and energy consumption. Designing a …
Automated machine learning-based framework of heating and cooling load prediction for quick residential building design
Reducing the heating and cooling load through energy-efficient building design can help
decarbonize the building sector. Heating and cooling load prediction using machine …
decarbonize the building sector. Heating and cooling load prediction using machine …