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Improving Energy Use Forecast for Campus Micro-grids using Indirect Indicators

, , and . International Workshop on Domain Driven Data Mining (DDDM), page 389--397. (2011)
DOI: 10.1109/ICDMW.2011.95

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Guest Editorial: Scientific Workflows, Provenance and Their Applications, , and . International Journal of Computers and Their Applications (IJCA), 18 (3): 130-132 (September 2011)Smart Communication of Energy Use and Prediction in a Smart Grid Software Architecture, , and . Energy Forum: A System Approach Toward Green Energy Production and Adaptive Power Distribution, IEEE Coastal Los Angeles Section, (November 2010)Poster.GoFFish : A Framework for Distributed Analytics Over Timeseries Graphs, , , , , , , and . 13-936. University of Southern California, Computer Science Department, (2013)PROV-AQ: Provenance Access and Query, , , , , , , , and . World Wide Web Consortium (W3C), (2011)The Open Provenance Model (v1.01), , , , , , , , , and 8 other author(s). 16148. Intelligence, Agents, Multimedia Group, University of Southampton, (July 2008)On Using Complex Event Processing for Dynamic Demand Response Optimization in Microgrid., , and . CoRR, (2013)Distributed Scheduling of Event Analytics across Edge and Cloud., and . CoRR, (2016)Cloud-Based Software Platform for Big Data Analytics in Smart Grids., , , , , , and . Comput. Sci. Eng., 15 (4): 38-47 (2013)Incorporating Semantic Knowledge into Dynamic Data Processing for Smart Power Grids., , and . ISWC (2), volume 7650 of Lecture Notes in Computer Science, page 257-273. Springer, (2012)Workshop on Data Fabric for Hybrid Clouds (WDFHC)., and . HiPCW, page 44-45. IEEE, (2022)