Does the energy efficiency of buildings bring price premiums? Evidence from urban micro-level energy data
B Zhang, Y Zhang, J Li, Y Song, Z Wang - Renewable and Sustainable …, 2023 - Elsevier
Energy efficient buildings can facilitate the achievement of sustainable development goals.
However, higher investment costs are not conducive to the development of energy efficient …
However, higher investment costs are not conducive to the development of energy efficient …
A systematic review and comprehensive analysis of building occupancy prediction
T Li, X Liu, G Li, X Wang, J Ma, C Xu, Q Mao - Renewable and Sustainable …, 2024 - Elsevier
Buildings account for a significant portion of the global energy consumption. Forecasting
personnel occupancy is critical for reducing energy consumption in buildings. This study …
personnel occupancy is critical for reducing energy consumption in buildings. This study …
Deep reinforcement learning for multi-objective optimization in BIM-based green building design
For green building design, this paper proposes a multi-objective optimization (MOO)
framework to properly adjust design parameters using a deep reinforcement learning (DRL) …
framework to properly adjust design parameters using a deep reinforcement learning (DRL) …
Data-driven energy consumption prediction of a university office building using machine learning algorithms
Redundant consumption of energy in buildings is an important issue that causes increasing
problems of climate change and global warming in the world. Therefore, it is necessary to …
problems of climate change and global warming in the world. Therefore, it is necessary to …
[HTML][HTML] An interpretable multi-stage forecasting framework for energy consumption and CO2 emissions for the transportation sector
The transportation sector is deemed one of the primary sources of energy consumption and
greenhouse gases throughout the world. To realise and design sustainable transport, it is …
greenhouse gases throughout the world. To realise and design sustainable transport, it is …
Reinforcement learning approach for optimal control of ice-based thermal energy storage (TES) systems in commercial buildings
Ice-based thermal energy storage (TES) system is effective on load shifting and demand
response in public buildings under time-of-use (TOU) tariffs. The management and …
response in public buildings under time-of-use (TOU) tariffs. The management and …
A segmented evaluation model for building energy performance considering seasonal dynamic fluctuations
D Zhang, Y Ding, X Jiang - Energy Conversion and Management, 2023 - Elsevier
Carbon emissions of existing buildings in China have accounted for over 1/4 of the national
total, and energy management in the building sector is influenced by energy performance …
total, and energy management in the building sector is influenced by energy performance …
[HTML][HTML] A novel triangular pulsating heat pipe with enhanced heat transfer performance for building energy efficiency
Utilizing renewable energy in buildings is promising for alleviating the energy crisis and
environmental pollution problems. Pulsating heat pipes (PHPs) are considered as a good …
environmental pollution problems. Pulsating heat pipes (PHPs) are considered as a good …
A data-driven rolling optimization control approach for building energy systems that integrate virtual energy storage systems
The virtual energy storage system (VESS) is an innovative and cost-effective technique for
coupling building envelope thermal storage and release abilities with the electric and heat …
coupling building envelope thermal storage and release abilities with the electric and heat …
Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient …
US residential buildings account for a significant share of national energy consumption,
highlighting their potential for energy-savings. Accurately predicting building energy …
highlighting their potential for energy-savings. Accurately predicting building energy …