Demand response

Results: 3678



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21This space is reserved for the Procedia header, do not use it Optimal Customer Targeting for Sustainable Demand Response in Smart Grids ∗ Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis, Arash S. Tehrani

This space is reserved for the Procedia header, do not use it Optimal Customer Targeting for Sustainable Demand Response in Smart Grids ∗ Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis, Arash S. Tehrani

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Source URL: ganges.usc.edu

- Date: 2016-08-08 01:53:44
    22Using OpenADR with OCPP Combining these two open protocols can turn electric vehicles from threats to the electricity grid into demand-response assets Auke Hoekstra (Eindhoven University of Technology), Rolf Bienert (Ope

    Using OpenADR with OCPP Combining these two open protocols can turn electric vehicles from threats to the electricity grid into demand-response assets Auke Hoekstra (Eindhoven University of Technology), Rolf Bienert (Ope

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    Source URL: openadr.memberclicks.net

    - Date: 2016-09-29 04:00:55
      23Demo Abstract: Toward Data-driven Demand-Response Optimization in a Campus Microgrid Yogesh Simmhan, Viktor Prasanna Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles CA 9008

      Demo Abstract: Toward Data-driven Demand-Response Optimization in a Campus Microgrid Yogesh Simmhan, Viktor Prasanna Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles CA 9008

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      Source URL: ganges.usc.edu

      - Date: 2011-10-17 17:23:54
        24Implementation of Learning-Based Dynamic Demand Response on a Campus Micro-grid ∗ Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis and Viktor K. Prasanna Ming Hsieh Department of Electrical Engineering Uni

        Implementation of Learning-Based Dynamic Demand Response on a Campus Micro-grid ∗ Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis and Viktor K. Prasanna Ming Hsieh Department of Electrical Engineering Uni

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        Source URL: ganges.usc.edu

        - Date: 2016-06-27 15:59:23
          25Prediction Models for Dynamic Demand Response Requirements, Challenges, and Insights Saima Aman* , Marc Frincu† , Charalampos Chelmis† , Muhammad Noor† , Yogesh Simmhan‡ , Viktor K. Prasanna† * Computer Scienc

          Prediction Models for Dynamic Demand Response Requirements, Challenges, and Insights Saima Aman* , Marc Frincu† , Charalampos Chelmis† , Muhammad Noor† , Yogesh Simmhan‡ , Viktor K. Prasanna† * Computer Scienc

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          Source URL: ganges.usc.edu

          - Date: 2016-02-13 16:40:35
            26Challenge On Online Time Series Clustering For Demand Response OPTIC - A Theory to Break the ‘Curse of Dimensionality’ Ranjan Pal, Charalampos Chelmis, Chandra Tadepalli Marc Frincu, Saima Aman, Viktor Prasanna Unive

            Challenge On Online Time Series Clustering For Demand Response OPTIC - A Theory to Break the ‘Curse of Dimensionality’ Ranjan Pal, Charalampos Chelmis, Chandra Tadepalli Marc Frincu, Saima Aman, Viktor Prasanna Unive

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            Source URL: ganges.usc.edu

            - Date: 2015-07-14 05:37:25
              27Big Data Analytics for Demand Response: Clustering Over Space and Time Charalampos Chelmis Department of Electrical Engineering University of Southern California Los Angeles, CA, USA

              Big Data Analytics for Demand Response: Clustering Over Space and Time Charalampos Chelmis Department of Electrical Engineering University of Southern California Los Angeles, CA, USA

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              Source URL: ganges.usc.edu

              - Date: 2016-02-07 22:53:48
                28Efficient Customer Selection for Sustainable Demand Response in Smart Grids Vasileios Zois† , Marc Frincu‡ , Charalampos Chelmis‡ , Muhammad Rizwan Saeed‡ , Viktor Prasanna‡ University of Southern California E

                Efficient Customer Selection for Sustainable Demand Response in Smart Grids Vasileios Zois† , Marc Frincu‡ , Charalampos Chelmis‡ , Muhammad Rizwan Saeed‡ , Viktor Prasanna‡ University of Southern California E

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                Source URL: ganges.usc.edu

                - Date: 2015-12-08 15:26:16
                  29Two Market Models for Demand Response in Power Networks Lijun Chen, Na Li, Steven H. Low and John C. Doyle Engineering & Applied Science Division, California Institute of Technology, USA Abstract— In this paper, we con

                  Two Market Models for Demand Response in Power Networks Lijun Chen, Na Li, Steven H. Low and John C. Doyle Engineering & Applied Science Division, California Institute of Technology, USA Abstract— In this paper, we con

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                  Source URL: smart.caltech.edu

                  - Date: 2012-07-11 18:24:34
                    30An Informatics Approach to Demand Response Optimization in Smart Grids (Technical Report, Under Preparation. 3 Mar, 2011) Yogesh Simmhan∗‡ , Saima Aman∗† , Baohua Cao∗‡ , Mike Giakkoupis∗† , Alok Kumbhare

                    An Informatics Approach to Demand Response Optimization in Smart Grids (Technical Report, Under Preparation. 3 Mar, 2011) Yogesh Simmhan∗‡ , Saima Aman∗† , Baohua Cao∗‡ , Mike Giakkoupis∗† , Alok Kumbhare

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                    Source URL: ganges.usc.edu

                    - Date: 2011-10-17 17:23:54