Calibration 02: Predicting Residential Demand
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This is a recording of a Building Simulation 2017 session presentation, held on August 8, 2017. Building Simulation 2017 brought together practitioners and researchers from around the world to share information about the state of the art in simulation tools and applications and to discuss new developments. The conference featured updates and insights regarding new research to improve simulation capabilities for advanced low-energy building systems, case studies from successful projects that demonstrate the key role that simulation plays, and ongoing efforts to enable compliance and building rating software to support radiant and other energy efficient systems.
Session Title: Calibration 02: Predicting Residential Demand
Chair: Pieter de Wilde
WITHDRAWN: Predicting Heating Energy Needs for Residential Building Clusters Using a Non-Linear Data-Driven Approach
Andreas Koch, European Institut for Energy Research, Germany
Prediction of Residential Building Demand Response Potential Using DataDriven Techniques
Donal Finn, University College Dublin, Ireland
An Improved Methodology for Calibrating Residential Building Energy Models Using Hourly Utility Data
Jennifer Lynn Williamson, The Catholic University of America, USA
Model Tuning Approach for Energy Management of Office and Apartment Settings
Lisa Scanu, Univ. Grenoble Alpes, France