Wang et al., 2025
| Publication | Publication Date | Title |
|---|---|---|
| Hu et al. | Quantifying uncertainty in the aggregate energy flexibility of high-rise residential building clusters considering stochastic occupancy and occupant behavior | |
| Zhang et al. | An optimal and learning-based demand response and home energy management system | |
| Fu et al. | Uncertainty analysis of an integrated energy system based on information theory | |
| Ballarini et al. | Application of energy rating methods to the existing building stock: Analysis of some residential buildings in Turin | |
| Ding et al. | Load shifting potential assessment of building thermal storage performance for building design | |
| Alden et al. | Artificial intelligence method for the forecast and separation of total and hvac loads with application to energy management of smart and nze homes | |
| Lei et al. | Prediction method of energy consumption for high building based on LMBP neural network | |
| Zhao et al. | Data-driven prediction of energy consumption of district cooling systems (DCS) based on the weather forecast data | |
| Ozoh et al. | A comparative analysis of techniques for forecasting electricity consumption | |
| Touretzky et al. | Building-level power demand forecasting framework using building specific inputs: Development and applications | |
| Pallonetto et al. | Environmental and economic benefits of building retrofit measures for the residential sector by utilizing sensor data and advanced calibrated models | |
| Deng et al. | Evaluation of deploying data-driven predictive controls in buildings on a large scale for greenhouse gas emission reduction | |
| Abtahi et al. | Control-oriented thermal network models for predictive load management in Canadian houses with on-Site solar electricity generation: application to a research house | |
| Pergantis et al. | Humidity-aware model predictive control for residential air conditioning: A field study | |
| Meng et al. | Peak regulation strategies for ground source heat pump demand response of based on load forecasting: A case study of rural building in China | |
| Wang et al. | A procedure set to construct the optimal energy saving retrofit strategy for old residential buildings in China | |
| Wang et al. | A Novel RC-Mapping Model of Building Air Conditioning Systems Dedicated to Demand Response and Training Condition Analysis | |
| Zhao et al. | Characterization and prediction of demand response potential of air conditioning systems integrated with chilled water storage | |
| Touchie et al. | Using suite energy-use and interior condition data to improve energy modeling of a 1960s MURB | |
| Finck et al. | Identification of a dynamic system model for a building and heating system including heat pump and thermal energy storage | |
| Mehrfeld | Evaluation of heat pump systems under dynamic operating conditions | |
| CN108224692B (en) | Prediction method of air conditioning flexible control response ability considering outdoor air temperature prediction error | |
| Tbaileh et al. | Transactive HVAC agent-design and performance evaluation | |
| Demirezen et al. | Grey-Box Energy Modelling of Energy-Efficient House Using Hybrid Optimization Technique of Genetic Algorithms (GA) and Quasi-Newton Algorithms with Markov Chain Monte Carlo Uncertainty Distribution. | |
| Leconte et al. | Solar combisystem characterization with a global approach test and a neural network based model identification |