Dawei Pan
Harbin Engineering University
12 Papers
68 Citations
Dawei Pan is an academic researcher from Harbin Engineering University. The author has contributed to research in topics: Energy consumption & Energy conservation. The author has an hindex of 6, co-authored 10 publications. Previous affiliations of Dawei Pan include Harbin Institute of Technology & Hong Kong Polytechnic University.
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Papers
Thermal Inertia: Towards an energy conservation room management system
Dawei Pan,Yi Yuan,Dan Wang,Xiaohua Xu,Yu Peng,Xiyuan Peng,Peng-Jun Wan +6 more
- 25 Mar 2012
TL;DR: A green room management system with three main components that has a wireless sensor network to collect indoor, outdoor temperature and electricity expenses of the air-conditioning devices and an energy-temperature correlation model for the energy expenses and the corresponding room temperature.
Minimizing building electricity costs in a dynamic power market: algorithms and impact on energy conservation
Dawei Pan,Dan Wang,Jiannong Cao,Yu Peng,Xiyuan Peng +4 more
- 21 May 2013
TL;DR: This paper investigates how to cut the electricity bills of commercial buildings in a dynamic power market by developing a holistic planning of electricity purchasing schedule with thermal storage management, and appropriate room assignment schedules for classes/meetings usage.
A study towards applying thermal inertia for energy conservation in rooms
TL;DR: This article makes a key observation that after a meeting or a class ends in a room, the indoor temperature will not immediately increase to the outdoor temperature, and proposes a framework for exploring thermal inertia in room management.
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Minimizing Building Electricity Costs in a Dynamic Power Market: Algorithms and Impact on Energy Conservation
Dawei Pan,Dawei Pan,Dan Wang,Jiannong Cao,Yu Peng,Xiyuan Peng +5 more
- 03 Dec 2013
TL;DR: This paper investigates how to cut the electricity bills of commercial buildings in a dynamic power market by developing a holistic planning of electricity purchasing schedule with thermal storage management, and appropriate room assignment schedules for classes/meetings usage.
DRES: Data recovery for condition monitoring to enhance system reliability
TL;DR: A data-driven framework for recovering condition data is proposed which is combined by mutual information and Multivariable Linear Regression (MLR), and the correlations among condition monitoring data sets are firstly analysed by mutualInformation and MLR.
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