Spillover as a cause of bias in baseline evaluation methods for demand response programs Todd, Annika, Peter Cappers, C. Anna Spurlock, and Ling Jin. "Spillover as a cause of bias in baseline evaluation methods for demand response programs." Applied Energy 250 (2019) 344 - 357.Related Files: Pre-print Journal Article PDF Read more about Spillover as a cause of bias in baseline evaluation methods for demand response programsGoogle ScholarDOIBibTexRTFTaggedMARCXMLRIS
Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability Dunn, Laurel N, Michael D Sohn, Kristina Hamachi LaCommare, and Joseph H Eto. "Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability." Energy Policy 129 (2019) 206 - 214.Related Files: Pre-Print Article PDF Read more about Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliabilityGoogle ScholarDOIBibTexRTFTaggedMARCXMLRIS
Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization Lazar, Alina, Ling Jin, C. Anna Spurlock, Kesheng Wu, Alex Sim, and Annika Todd. "Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization." Journal of Data and Information Quality 11.2 (2019) 1 - 22. Read more about Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE VisualizationGoogle ScholarDOIBibTexRTFTaggedMARCXMLRIS
Load Shape Clustering Using Residential Smart Meter Data: a Technical Memorandum Jin, Ling, C. Anna Spurlock, Sam Borgeson, Daniel Fredman, Liesel Hans, Siddharth Patel, and Annika Todd. Load Shape Clustering Using Residential Smart Meter Data: a Technical Memorandum. 2016.Related Files: PDF Read more about Load Shape Clustering Using Residential Smart Meter Data: a Technical MemorandumGoogle ScholarBibTexRTFTaggedMARCXMLRIS
Data quality challenges with missing values and mixed types in joint sequence analysis Lazar, Alina, Ling Jin, C. Anna Spurlock, Annika Todd, Kesheng Wu, and Alex Sim. "Data quality challenges with missing values and mixed types in joint sequence analysis." 2017 IEEE International Conference on Big Data (Big Data)2017 IEEE International Conference on Big Data (Big Data). Boston, MA, USA: IEEE, 2017. Read more about Data quality challenges with missing values and mixed types in joint sequence analysisGoogle ScholarDOIBibTexRTFTaggedMARCXMLRIS
Time Will Tell: Using Smart Meter Time Series Data to Derive Household Features and Explain Heter ogeneity in Pricing Programs Patel, Siddharth, Sam Borgeson, Ram Rajagopal, C. Anna Spurlock, Ling Jin, and Annika Todd. "Time Will Tell: Using Smart Meter Time Series Data to Derive Household Features and Explain Heter ogeneity in Pricing Programs." 2016 ACEEE Summer Study on Energy Efficiency in Buildings 2016. Read more about Time Will Tell: Using Smart Meter Time Series Data to Derive Household Features and Explain Heter ogeneity in Pricing ProgramsGoogle ScholarBibTexRTFTaggedMARCXMLRIS
Go for the Silver? Evidence from field studies quantifying the difference in evaluation results between “gold standard” randomized controlled trial methods versus quasi-experimental methods Spurlock, C. Anna, Peter Cappers, Ling Jin, Annika Todd, and Patrick Baylis. "Go for the Silver? Evidence from field studies quantifying the difference in evaluation results between “gold standard” randomized controlled trial methods versus quasi-experimental methods." 2016 ACEEE Summer Study on Energy Efficiency in Buildings 2016. Read more about Go for the Silver? Evidence from field studies quantifying the difference in evaluation results between “gold standard” randomized controlled trial methods versus quasi-experimental methodsGoogle ScholarBibTexRTFTaggedMARCXMLRIS
Evaluating the Performance of the IEEE Standard 1366 Method for Identifying Major Event Days View Document Eto, Joseph H, Kristina Hamachi LaCommare, Michael D Sohn, and Heidemarie C Caswell. "Evaluating the Performance of the IEEE Standard 1366 Method for Identifying Major Event Days View Document." IEEE Transactions on Power Systems 32.2 (2016). LBNL-1006405. Read more about Evaluating the Performance of the IEEE Standard 1366 Method for Identifying Major Event Days View DocumentGoogle ScholarDOIBibTexRTFTaggedMARCXMLRIS
Experiences of Vulnerable Residential Customer Subpopulations with Critical Peak Pricing Cappers, Peter, C. Anna Spurlock, Annika Todd, and Ling Jin. Experiences of Vulnerable Residential Customer Subpopulations with Critical Peak Pricing. 2016. LBNL-1006294.Related Files: Report PDFPresentation PDF Read more about Experiences of Vulnerable Residential Customer Subpopulations with Critical Peak PricingGoogle ScholarBibTexRTFTaggedMARCXMLRIS