ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles

ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles

Data-driven building energy prediction is an integral part of the process for measurement and verification, building benchmarking, and building-to-grid interaction. The ASHRAE Great Energy Predictor III (GEPIII) machine learning competition used an extensive meter data set to crowdsource the most ac...

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Bibliographic Details
Main Authors: Hagenmeyer, V. (Author), Miller, C. (Author), Park, J.Y (Author), Quintana, M. (Author), Stoeckmann, T. (Author), Turowski, M. (Author)
Format: Article
Language:English
Published: Elsevier Ltd 2022
Subjects:
Anomaly detection
Building energy
Buildings
Deep learning
Discord detection
Energy prediction
Filtration
Forecasting
Load profile
Load profiles
matrix
Matrix algebra
Matrix profile
Portfolio analysis
Processing
Smart meter
Statistical threshold
Training data
User-defined parameters
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