A Review on Machine/Deep Learning Techniques Applied to Building Energy Simulation, Optimization and Management
F Villano, GM Mauro, A Pedace - Thermo, 2024 - mdpi.com
Given the climate change in recent decades and the ever-increasing energy consumption in
the building sector, research is widely focused on the green revolution and ecological …
the building sector, research is widely focused on the green revolution and ecological …
A novel deep-learning framework for short-term prediction of cooling load in public buildings
C Song, H Yang, XB Meng, P Yang, J Cai… - Journal of Cleaner …, 2024 - Elsevier
Optimal control of heating, ventilation, and air conditioning (HVAC) systems, along with
demand-side management, are both cost-effective methods in the process of energy …
demand-side management, are both cost-effective methods in the process of energy …
Outdoor thermal condition based-segmented intermittent demand-controlled ventilation for constant-air-volume system
D Niu, S Zhang - Building and Environment, 2023 - Elsevier
The outdoor air supply is mandatory for healthy built environments but consumes a large
amount of building energy. The demand-controlled ventilation method adjusts the outdoor …
amount of building energy. The demand-controlled ventilation method adjusts the outdoor …
[HTML][HTML] Enhancing real-time nonintrusive occupancy estimation in buildings via knowledge fusion network
C Lu - Energy and Buildings, 2024 - Elsevier
Real-time nonintrusive occupancy estimation can maximize the use of existing sensors to
infer occupant information in buildings with the advantages of fewer privacy concerns and …
infer occupant information in buildings with the advantages of fewer privacy concerns and …
Air conditioning load prediction based on hybrid data decomposition and non-parametric fusion model
N He, C Qian, L Liu, F Cheng - Journal of Building Engineering, 2023 - Elsevier
Accurate prediction of air conditioning load is the pivotal problem of air conditioning
optimization control, which is of great significance for reducing building energy consumption …
optimization control, which is of great significance for reducing building energy consumption …
Transformer based day-ahead cooling load forecasting of hub airport air-conditioning systems with thermal energy storage
The air conditioning system constitutes more than half of the total energy demand in hub
airport buildings. To enhance the energy efficiency and to enable intelligent energy …
airport buildings. To enhance the energy efficiency and to enable intelligent energy …
A hybrid transfer learning to continual learning strategy for improving cross-building energy prediction in data increment scenario
J Deng, G Li, Y Wu, J Chen, X Fang, C Xu - Journal of Building Engineering, 2024 - Elsevier
For a data-driven building energy prediction model, the insufficient data available for new
buildings and existing buildings with limited data pose a challenge to achieving the …
buildings and existing buildings with limited data pose a challenge to achieving the …
[HTML][HTML] Green buildings: requirements, features, life cycle, and relevant intelligent technologies
Green buildings are designed and constructed according to the principles of sustainable
development and are an inevitable trend in future architectural development. Nowadays …
development and are an inevitable trend in future architectural development. Nowadays …
A hybrid model based on multivariate fast iterative filtering and long short-term memory for ultra-short-term cooling load prediction
The current ultra-short-term cooling load forecasting models have not given due attention to
the data pre-processing stage. In this paper, multivariate signal decomposition methods …
the data pre-processing stage. In this paper, multivariate signal decomposition methods …
A hybrid prediction model of improved bidirectional long short-term memory network for cooling load based on PCANet and attention mechanism
X Yan, X Ji, Q Meng, H Sun, Y Lei - Energy, 2024 - Elsevier
Accurate and reliable cooling load forecasting is a prerequisite for air-conditioning system
control and the basis for building-side energy management. Therefore, a hybrid prediction …
control and the basis for building-side energy management. Therefore, a hybrid prediction …