Machine Learning Algorithms Predicting Demand Response Potential Utilising a Synthetic Repository Despoina Christantoni, Dimitrios-Stavros Kapetanakis, Donal P. Finn University College of Dublin, Ireland Despoina Christantoni is funded under Programme for Research in Third Level Institutions and co-funded under the European Regional Development Fund (ERDF). Investing in Your Future
Context
Demand Response Reference: Sonja van Renssen, Nature Climate Change
Testbed building 11,100 m 2 floor area Key Features: Offices, Retail Fitness Centre 50 m Swimming Pool Cinema / Theatre Debating Chamber Meeting Rooms UCD Sports Centre
Testbed building
Building Energy Simulation Model BEMS data archived at 15 minute intervals: Electricity and gas consumption Zonal parameters Electricity: MBE: -1.6% & CVRMSE: 10.5% (Reference: D. Christantoni, S. Oxizidis, D. Flynn, D. P. Finn, Calibration of a commercial building energy simulation model for demand response analysis, in: Proceedings of BS2015: 14th Conference of International Building Performance Simulation Association, 2015, pp. 2865–2872.) EnergyPlus model
DR Strategies Scheduled values changed when a DR signal received Strategies tested : Chilled water temperature adjustment Fans (VAV, CAV & on/off) Zone air temperature set-point adjustment
DR Strategies Energy Management System Sensors Actuators Parametrics
Synthetic Repository Demand response potential in 15 minutes intervals 1 & 2 hours duration events Various commencement time Train and test the machine learning algorithms
Machine Learning Algorithms Artificial neural networks and support vector machines Focus on: predicting the DR potential with real time weather data
Inserts the dataset to the stream Input variables and target variable are selected Model Builder Describes the developed model Predictive model Information about model performance Reports the outcome of prediction Predictive Models Software IBM SPSS Modeler
Progress Summary Synthetic Repository from Testbed Building: Completed Development of predictive models: Undergoing Work to be completed: By the end of August
Thank you for your attention! Despoina Christantoni: Dimitrios-Stavros Kapetanakis: