{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T08:55:54Z","timestamp":1765356954651,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,6,22]],"date-time":"2021-06-22T00:00:00Z","timestamp":1624320000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100006233","name":"National Renewable Energy Laboratory","doi-asserted-by":"publisher","award":["DE-AC36-08GO28308"],"award-info":[{"award-number":["DE-AC36-08GO28308"]}],"id":[{"id":"10.13039\/100006233","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,6,22]]},"DOI":"10.1145\/3447555.3466598","type":"proceedings-article","created":{"date-parts":[[2021,6,23]],"date-time":"2021-06-23T04:49:35Z","timestamp":1624423775000},"page":"372-376","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Visualization of Multi-Fidelity Approximations of Stochastic Economic Dispatch"],"prefix":"10.1145","author":[{"given":"Kinshuk","family":"Panda","sequence":"first","affiliation":[{"name":"Computational Science Center, National Renewable Energy Laboratory, Golden, Colorado, USA"}]},{"given":"Ryan","family":"King","sequence":"additional","affiliation":[{"name":"Computational Science Center, National Renewable Energy Laboratory, Golden, Colorado, USA"}]},{"given":"Jonathan","family":"Maack","sequence":"additional","affiliation":[{"name":"Computational Science Center, National Renewable Energy Laboratory, Golden, Colorado, USA"}]},{"given":"Ignas","family":"Satkauskas","sequence":"additional","affiliation":[{"name":"Computational Science Center, National Renewable Energy Laboratory, Golden, Colorado, USA"}]},{"given":"Kristi","family":"Potter","sequence":"additional","affiliation":[{"name":"Computational Science Center, National Renewable Energy Laboratory, Golden, Colorado, USA"}]}],"member":"320","published-online":{"date-parts":[[2021,6,22]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2021. Extreme Winter Weather Causes U.S. Blackouts. earthobservatory.nasa.gov.  2021. Extreme Winter Weather Causes U.S. Blackouts. earthobservatory.nasa.gov."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2019.2925557"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2011.185"},{"key":"e_1_3_2_1_4_1","volume-title":"Tableau software. Tableau Software 6","author":"Chabot Christian","year":"2003","unstructured":"Christian Chabot , Chris Stolte , and Pat Hanrahan . 2003. Tableau software. Tableau Software 6 ( 2003 ). Christian Chabot, Chris Stolte, and Pat Hanrahan. 2003. Tableau software. Tableau Software 6 (2003)."},{"key":"e_1_3_2_1_5_1","volume-title":"The Wind Integration National Dataset (WIND) Toolkit. Applied Energy 151","author":"Draxl Caroline","year":"2015","unstructured":"Caroline Draxl , Andrew Clifton , Bri-Mathias Hodge , and Jim McCaa . 2015. The Wind Integration National Dataset (WIND) Toolkit. Applied Energy 151 ( 2015 ). https:\/\/doi.org\/10.1016\/j.apenergy.2015.03.121 Caroline Draxl, Andrew Clifton, Bri-Mathias Hodge, and Jim McCaa. 2015. The Wind Integration National Dataset (WIND) Toolkit. Applied Energy 151 (2015). https:\/\/doi.org\/10.1016\/j.apenergy.2015.03.121"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCG.2016.33"},{"key":"e_1_3_2_1_7_1","volume-title":"Reliability Test System -Grid Modernization Lab Consortium. https:\/\/github.com\/GridMod\/RTS-GMLC [Online","author":"Grid Modernization Lab Consortium","year":"2017","unstructured":"Grid Modernization Lab Consortium . 2017. Reliability Test System -Grid Modernization Lab Consortium. https:\/\/github.com\/GridMod\/RTS-GMLC [Online ; accessed 11- December - 2017 ]. Grid Modernization Lab Consortium. 2017. Reliability Test System -Grid Modernization Lab Consortium. https:\/\/github.com\/GridMod\/RTS-GMLC [Online; accessed 11-December-2017]."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/NAPS.2016.7747892"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/PES.2011.6039887"},{"key":"e_1_3_2_1_10_1","unstructured":"Plotly Technologies Inc. 2015. Collaborative data science. Montreal QC. https:\/\/plot.ly  Plotly Technologies Inc. 2015. Collaborative data science. Montreal QC. https:\/\/plot.ly"},{"key":"e_1_3_2_1_11_1","volume-title":"Gridview: A Grid Monitoring and Visualization Tool. Computing in High Energy and Nuclear Physics-CHEP06","author":"Kalmady Rajesh","year":"2006","unstructured":"Rajesh Kalmady , Digamber Sonvane , Kislay Bhatt , Phool Chand , James Casey , and Zdenek Sekera . 2006 . Gridview: A Grid Monitoring and Visualization Tool. Computing in High Energy and Nuclear Physics-CHEP06 , Mumbai , India (2006), 13--17. Rajesh Kalmady, Digamber Sonvane, Kislay Bhatt, Phool Chand, James Casey, and Zdenek Sekera. 2006. Gridview: A Grid Monitoring and Visualization Tool. Computing in High Energy and Nuclear Physics-CHEP06, Mumbai, India (2006), 13--17."},{"key":"e_1_3_2_1_12_1","first-page":"64","article-title":"A conceptual approach to data visualization for user interface design of smart grid operation tools","volume":"1","author":"Joo Kang D","year":"2010","unstructured":"D Joo Kang and Sunju Park . 2010 . A conceptual approach to data visualization for user interface design of smart grid operation tools . International Journal of Energy, Information and Communications 1 , 1 (2010), 64 -- 76 . D Joo Kang and Sunju Park. 2010. A conceptual approach to data visualization for user interface design of smart grid operation tools. International Journal of Energy, Information and Communications 1, 1 (2010), 64--76.","journal-title":"International Journal of Energy, Information and Communications"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2009.06.009"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1002\/nme.4761"},{"key":"e_1_3_2_1_15_1","volume-title":"Power system visualization. Dianli Xitong Zidonghua\/Automation of Electric Power Systems 29, 16 (25","author":"Overbye Thomas J.","year":"2005","unstructured":"Thomas J. Overbye . 2005. Power system visualization. Dianli Xitong Zidonghua\/Automation of Electric Power Systems 29, 16 (25 Aug. 2005 ), 60--65. Thomas J. Overbye. 2005. Power system visualization. Dianli Xitong Zidonghua\/Automation of Electric Power Systems 29, 16 (25 Aug. 2005), 60--65."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFVIS.2000.885101"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/HICSS.2000.926744"},{"key":"e_1_3_2_1_18_1","unstructured":"Kinshuk Panda Ryan King Andrew Glaws Kristi Potter and Jonathan Maack. 2021. Multi-Fidelity Stochastic Economic Dispatch. https:\/\/meetings.siam.org\/sess\/dsp_talk.cfm?p=109673.  Kinshuk Panda Ryan King Andrew Glaws Kristi Potter and Jonathan Maack. 2021. Multi-Fidelity Stochastic Economic Dispatch. https:\/\/meetings.siam.org\/sess\/dsp_talk.cfm?p=109673."},{"key":"e_1_3_2_1_19_1","unstructured":"Kinshuk Panda Ignas Satkauskas Jonathan Maack Devon Sigler Matthew Reynolds and Wesley Jones. Manuscript Submitted. A Data-Driven Multi-Period Importance Sampling Strategy for Stochastic Economic Dispatch.  Kinshuk Panda Ignas Satkauskas Jonathan Maack Devon Sigler Matthew Reynolds and Wesley Jones. Manuscript Submitted. A Data-Driven Multi-Period Importance Sampling Strategy for Stochastic Economic Dispatch."},{"key":"e_1_3_2_1_20_1","volume-title":"Willcox","author":"Peherstorfer Benjamin","year":"2018","unstructured":"Benjamin Peherstorfer , Philip S. Beran , and Karen E . Willcox . 2018 . Multifidelity Monte Carlo estimation for large-scale uncertainty propagation. https:\/\/doi.org\/10.2514\/6.2018-1660 Benjamin Peherstorfer, Philip S. Beran, and Karen E. Willcox. 2018. Multifidelity Monte Carlo estimation for large-scale uncertainty propagation. https:\/\/doi.org\/10.2514\/6.2018-1660"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1137\/16M1082469"},{"key":"e_1_3_2_1_22_1","volume-title":"Exascale Stochastic Grid Dynamics. https:\/\/www.exascaleproject.org\/research-project\/exasgd\/. Online","author":"Project Exascale Computing","year":"2021","unstructured":"Exascale Computing Project . 2016. Exascale Stochastic Grid Dynamics. https:\/\/www.exascaleproject.org\/research-project\/exasgd\/. Online ; accessed 2021 -04-12. Exascale Computing Project. 2016. Exascale Stochastic Grid Dynamics. https:\/\/www.exascaleproject.org\/research-project\/exasgd\/. Online; accessed 2021-04-12."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/PESGM41954.2020.9281609"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CMV.2007.20"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2864903"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEWIT.2011.6135870"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/59.852151"},{"volume-title":"The big book of dashboards: visualizing your data using real-world business scenarios","author":"Wexler Steve","key":"e_1_3_2_1_28_1","unstructured":"Steve Wexler , Jeffrey Shaffer , and Andy Cotgreave . 2017. The big book of dashboards: visualizing your data using real-world business scenarios . John Wiley & Sons . Steve Wexler, Jeffrey Shaffer, and Andy Cotgreave. 2017. The big book of dashboards: visualizing your data using real-world business scenarios. John Wiley & Sons."},{"key":"e_1_3_2_1_29_1","volume-title":"Wollenberg","author":"Wood Allen J.","year":"2013","unstructured":"Allen J. Wood and Bruce F . Wollenberg . 2013 . Power generation, operation, and control. John Wiley & Sons . Allen J. Wood and Bruce F. Wollenberg. 2013. Power generation, operation, and control. John Wiley & Sons."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2014.2355204"},{"key":"e_1_3_2_1_31_1","volume-title":"Optimization of Power System Operations","author":"Zhu Jizhong","year":"1888","unstructured":"Jizhong Zhu . 2015. Optimization of Power System Operations . John Wiley & Sons, Ltd. https:\/\/doi.org\/10.1002\/97811 1888 7004.fmatter Jizhong Zhu. 2015. Optimization of Power System Operations. John Wiley & Sons, Ltd. https:\/\/doi.org\/10.1002\/9781118887004.fmatter"}],"event":{"name":"e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems","acronym":"e-Energy '21","location":"Virtual Event Italy"},"container-title":["Proceedings of the Twelfth ACM International Conference on Future Energy Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3447555.3466598","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3447555.3466598","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3447555.3466598","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:28:36Z","timestamp":1750195716000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3447555.3466598"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,22]]},"references-count":31,"alternative-id":["10.1145\/3447555.3466598","10.1145\/3447555"],"URL":"https:\/\/doi.org\/10.1145\/3447555.3466598","relation":{},"subject":[],"published":{"date-parts":[[2021,6,22]]},"assertion":[{"value":"2021-06-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}