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Since DSM programs, implemented as-is, are bound to cause customer inconveniences and/or losses, research has been done to consider customer comfort when implementing DSM programs.\r The typical approach uses a single \"value\" of comfort metric for all customers, and decision-making is centralized. This method has two main drawbacks. First, in practice no two people will have identical criteria regarding comfort levels. Second, centralized decision-making is impractical for a large system due to the data size/processing power required.\r To alleviate these problems, a multi-agent-based system would be developed that features distributed decision-making, and integrates individual user comfort metrics as a set of service valuations. The agent-based system will be implemented in the C/C++ programming language on the Linux platform, and tested with data based on real-life consumption patterns. Figure I shows the proposed agent-based system for DSM.\r Being an on-going work, the intention is to implement a DSM system, utilizing agent-based systems that maximizes user comfort while minimizing the energy consumption of a facility. 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HIERARCHICAL MULTI-AGENT-BASED DEMAND-SIDE MANAGEMENT WITH USER COMFORT AS A COMBINATION OF THERMALAND OTHER SERVICES
http://hdl.handle.net/20.500.12678/0000001836
http://hdl.handle.net/20.500.12678/0000001836316c6187-9c20-4a22-9547-698a4bd10102
b4e76330-ba41-49b2-9d43-2cb00b652fd4
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Hierarchical multi-agent-based demand-side management with user comfort as a combination of thermal and other services.pdf (945 Kb)
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Title | ||||||
Title | HIERARCHICAL MULTI-AGENT-BASED DEMAND-SIDE MANAGEMENT WITH USER COMFORT AS A COMBINATION OF THERMALAND OTHER SERVICES | |||||
Language | en | |||||
Publication date | 2015 | |||||
Authors | ||||||
Villa, Alberto B. de | ||||||
Pedrasa, Michael Angelo A. | ||||||
Description | ||||||
With increasing load on the existing electric power system, demand-side management (DSM) has been implemented to help maintain system stability, among other objectives. Since DSM programs, implemented as-is, are bound to cause customer inconveniences and/or losses, research has been done to consider customer comfort when implementing DSM programs. The typical approach uses a single "value" of comfort metric for all customers, and decision-making is centralized. This method has two main drawbacks. First, in practice no two people will have identical criteria regarding comfort levels. Second, centralized decision-making is impractical for a large system due to the data size/processing power required. To alleviate these problems, a multi-agent-based system would be developed that features distributed decision-making, and integrates individual user comfort metrics as a set of service valuations. The agent-based system will be implemented in the C/C++ programming language on the Linux platform, and tested with data based on real-life consumption patterns. Figure I shows the proposed agent-based system for DSM. Being an on-going work, the intention is to implement a DSM system, utilizing agent-based systems that maximizes user comfort while minimizing the energy consumption of a facility. A facility may be a group of related commercial buildings, or a subdivision of residential households. |
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Keywords | ||||||
Agent-based System | ||||||
Identifier | https://uyr.uy.edu.mm/handle/123456789/472 | |||||
Journal articles | ||||||
8th AUN/SEED-Net Regional Conference on Electrical and Electronics Engineering | ||||||
Conference papaers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |