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        <identifier>oai:meral.edu.mm:recid/1836</identifier>
        <datestamp>2021-12-13T07:19:15Z</datestamp>
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          <dc:title>HIERARCHICAL MULTI-AGENT-BASED DEMAND-SIDE MANAGEMENT WITH USER COMFORT AS A COMBINATION OF THERMALAND OTHER SERVICES</dc:title>
          <dc:creator>Villa, Alberto B. de</dc:creator>
          <dc:creator>Pedrasa, Michael Angelo A.</dc:creator>
          <dc: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.&#13; 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.&#13; 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.&#13; 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.</dc:description>
          <dc:date>2015</dc:date>
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