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Operational Carbon Change in Commercial Buildings under the Carbon Neutral Goal: A LASSO–WOA Approach
Operational Carbon Change in Commercial Buildings under the Carbon Neutral Goal: A LASSO–WOA Approach
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Operational Carbon Change in Commercial Buildings under the Carbon Neutral Goal: A LASSO–WOA Approach

Xiang, Xiwang ; Ma, Xin ; Ma, Zhili ; Ma, Minda

Buildings (Basel), 2022-01, Vol.12 (1), p.54 [Periódico revisado por pares]

Basel: MDPI AG

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2
Carbon Neutral Roadmap of Commercial Building Operations by Mid-Century: Lessons from China
Carbon Neutral Roadmap of Commercial Building Operations by Mid-Century: Lessons from China
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Carbon Neutral Roadmap of Commercial Building Operations by Mid-Century: Lessons from China

Zhang, Shufan ; Xiang, Xiwang ; Ma, Zhili ; Ma, Minda ; Zou, Chenchen

Buildings (Basel), 2021-11, Vol.11 (11), p.510 [Periódico revisado por pares]

Basel: MDPI AG

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3
How Building Energy Use Reacted to Variable Occupancy Pre- and Post- COVID-19 Pandemic—Sensitivity Analysis of 35 Commercial Buildings in Canada
How Building Energy Use Reacted to Variable Occupancy Pre- and Post- COVID-19 Pandemic—Sensitivity Analysis of 35 Commercial Buildings in Canada
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How Building Energy Use Reacted to Variable Occupancy Pre- and Post- COVID-19 Pandemic—Sensitivity Analysis of 35 Commercial Buildings in Canada

Awad, Hadia ; Ashouri, Araz ; Rizvi, Farzeen

Buildings (Basel), 2023-08, Vol.13 (9), p.2160 [Periódico revisado por pares]

Basel: MDPI AG

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4
The Role of Mandatory Building Efficiency Disclosure on Green Building Price Premium: Evidence from Australia
The Role of Mandatory Building Efficiency Disclosure on Green Building Price Premium: Evidence from Australia
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The Role of Mandatory Building Efficiency Disclosure on Green Building Price Premium: Evidence from Australia

Lee, Chyi Lin ; Gumulya, Nicholas ; Bangura, Mustapha

Buildings (Basel), 2022-03, Vol.12 (3), p.297 [Periódico revisado por pares]

Basel: MDPI AG

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5
Application of Deep Reinforcement Learning for Proportional–Integral–Derivative Controller Tuning on Air Handling Unit System in Existing Commercial Building
Application of Deep Reinforcement Learning for Proportional–Integral–Derivative Controller Tuning on Air Handling Unit System in Existing Commercial Building
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Application of Deep Reinforcement Learning for Proportional–Integral–Derivative Controller Tuning on Air Handling Unit System in Existing Commercial Building

Lee, Dongkyu ; Jeong, Jinhwa ; Chae, Young Tae

Buildings (Basel), 2024-01, Vol.14 (1), p.66 [Periódico revisado por pares]

Basel: MDPI AG

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6
Optimal Sizing and Management of Hybrid Renewable Energy System for DC-Powered Commercial Building
Optimal Sizing and Management of Hybrid Renewable Energy System for DC-Powered Commercial Building
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Optimal Sizing and Management of Hybrid Renewable Energy System for DC-Powered Commercial Building

Olabi, Abdul Ghani ; Ghoniem, Rania M. ; Alami, Abdul Hai ; Abdelkareem, Mohammad Ali

Buildings (Basel), 2023-08, Vol.13 (8), p.2109 [Periódico revisado por pares]

Basel: MDPI AG

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7
Python-LMDI: A Tool for Index Decomposition Analysis of Building Carbon Emissions
Python-LMDI: A Tool for Index Decomposition Analysis of Building Carbon Emissions
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Python-LMDI: A Tool for Index Decomposition Analysis of Building Carbon Emissions

Xiang, Xiwang ; Ma, Xin ; Ma, Zhili ; Ma, Minda ; Cai, Weiguang

Buildings (Basel), 2022-01, Vol.12 (1), p.83 [Periódico revisado por pares]

Basel: MDPI AG

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8
Research on Energy Consumption Prediction Models for High-Rise Hotels in Guangzhou, Based on Different Machine Learning Algorithms
Research on Energy Consumption Prediction Models for High-Rise Hotels in Guangzhou, Based on Different Machine Learning Algorithms
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Research on Energy Consumption Prediction Models for High-Rise Hotels in Guangzhou, Based on Different Machine Learning Algorithms

Zhang, Jin ; Yuan, Chuyan ; Yang, Junyi ; Zhao, Lihua

Buildings (Basel), 2024-01, Vol.14 (2), p.356 [Periódico revisado por pares]

Basel: MDPI AG

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9
Application of Machine Learning for Predicting Building Energy Use at Different Temporal and Spatial Resolution under Climate Change in USA
Application of Machine Learning for Predicting Building Energy Use at Different Temporal and Spatial Resolution under Climate Change in USA
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Application of Machine Learning for Predicting Building Energy Use at Different Temporal and Spatial Resolution under Climate Change in USA

Mohammadiziazi, Rezvan ; Bilec, Melissa

Buildings (Basel), 2020-08, Vol.10 (8), p.139 [Periódico revisado por pares]

Basel: MDPI AG

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10
In Search for Untapped Energy-Saving Potential in Green and Smart Higher Educational Buildings—An Empirical Case Study Involving the Building Occupants
In Search for Untapped Energy-Saving Potential in Green and Smart Higher Educational Buildings—An Empirical Case Study Involving the Building Occupants
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In Search for Untapped Energy-Saving Potential in Green and Smart Higher Educational Buildings—An Empirical Case Study Involving the Building Occupants

Bäcklund, Katarina ; Molinari, Marco ; Lundqvist, Per

Buildings (Basel), 2023-12, Vol.13 (12), p.3103 [Periódico revisado por pares]

Basel: MDPI AG

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