Day-Ahead and Intra-Day Building Load Forecast With Uncertainty Bounds Using Small Data Batches
Author:
Affiliation:
1. ABB Corporate Research, ABB AG, Ladenburg, Germany
2. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
Funder
ABB—Politecnico di Milano Joint Research Center through the Ph.D. Scholarship “Methodologies for the Estimation and Monitoring From Data of Electric Systems.”
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/87/10292780/10132004.pdf?arnumber=10132004
Reference38 articles.
1. Load Forecasting Using Support Vector Machines: A Study on EUNITE Competition 2001
2. Unified Set Membership theory for identification, prediction and filtering of nonlinear systems
3. A Fourier Series Model to Predict Hourly Heating and Cooling Energy Use in Commercial Buildings With Outdoor Temperature as the Only Weather Variable
4. Data-driven filtering for linear systems using Set Membership multistep predictors
5. Neural network load forecasting with weather ensemble predictions
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1. Building energy consumption prediction method based on Bayesian regression and thermal inertia correction;International Journal of Renewable Energy Development;2023-11-11
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