HVAC Power Conservation through Reverse Auctions and Machine Learning

Author:

Casella Enrico1,Khamesi Atieh R.2,Silvestri Simone1,Baker D. A.3,Das Sajal K.4

Affiliation:

1. University of Kentucky,Department of Computer Science,Lexington,KY,USA

2. Ericsson,Santa Clara,CA,USA

3. Missouri University of Science & Technology,Department of Psychological Science,Rolla,MO,USA

4. Missouri University of Science & Technology,Department of Computer Science,Rolla,MO,USA

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Human-Centered Power Conservation Framework Based on Reverse Auction Theory and Machine Learning;ACM Transactions on Cyber-Physical Systems;2024-07-29

2. Incentive Mechanism for Uncertain Tasks Under Differential Privacy;IEEE Transactions on Services Computing;2024-05

3. Human Activity Recognition Using Spectrograms of Binary Motion Sensor Data;2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2024-04-29

4. A Future Direction of Machine Learning for Building Energy Management: Interpretable Models;Energies;2024-02-01

5. e-Uber: A Crowdsourcing Platform for Electric Vehicle-based Ride- and Energy-sharing;2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS);2023-09-25

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