DATA-DRIVEN MACHINE LEARNING MODELS FOR COMPLEX BUILDING ENERGY LOAD PREDICTIONS: ANALYSIS AND ASSESSMENT OF CONCEPT DRIFT SCENARIOS

DATA-DRIVEN MACHINE LEARNING MODELS FOR COMPLEX BUILDING ENERGY LOAD PREDICTIONS: ANALYSIS AND ASSESSMENT OF CONCEPT DRIFT SCENARIOS

Item #:: 077185-0216
UPC:

Download PDF

Details

DOI: https://doi.org/10.52202/077185-0216
Author(s): Kai Derzsi, Florian Stinner, Matthias Fenske, Thomas Schreiber, Dirk Müller
Pages: 2502-2512 (11 pages)
Format: PDF Paper Download
Conference: 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
Date/Location: Held 30 June - 5 July 2024, Rhodes, Greece.
Publisher: ECOS 2024

Description

Members/Attendees

Tab 4

Details
Description
Members/Attendees
Tab 4

DOI: https://doi.org/10.52202/077185-0216
Author(s): Kai Derzsi, Florian Stinner, Matthias Fenske, Thomas Schreiber, Dirk Müller
Pages: 2502-2512 (11 pages)
Format: PDF Paper Download
Conference: 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
Date/Location: Held 30 June - 5 July 2024, Rhodes, Greece.
Publisher: ECOS 2024