Search Results for author: June Young Park

Found 3 papers, 3 papers with code

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

1 code implementation13 Mar 2022 Matias Quintana, Till Stoeckmann, June Young Park, Marian Turowski, Veit Hagenmeyer, Clayton Miller

Data-driven building energy prediction is an integral part of the process for measurement and verification, building benchmarking, and building-to-grid interaction.

Benchmarking BIG-bench Machine Learning +1

The Building Data Genome Project 2: Hourly energy meter data from the ASHRAE Great Energy Predictor III competition

2 code implementations3 Jun 2020 Clayton Miller, Anjukan Kathirgamanathan, Bianca Picchetti, Pandarasamy Arjunan, June Young Park, Zoltan Nagy, Paul Raftery, Brodie W. Hobson, Zixiao Shi, Forrest Meggers

This paper describes an open data set of 3, 053 energy meters from 1, 636 non-residential buildings with a range of two full years (2016 and 2017) at an hourly frequency (17, 544 measurements per meter resulting in approximately 53. 6 million measurements).

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