Building Energy Consumption Forecasting: A Comparison of Gradient Boosting Models-Reference-Cited by-同舟云学术

Building Energy Consumption Forecasting: A Comparison of Gradient Boosting Models

Published:2021-06-29 Issue: Volume: Page:
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Container-title:The 12th International Conference on Advances in Information Technology
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Author:

Bassi Abnash¹,Shenoy Anika¹,Sharma Arjun¹,Sigurdson Hanna¹,Glossop Connor¹,Chan Jonathan H.²

Affiliation:

1. University of Toronto, Canada

2. King Mongkut's University of Technology Thonburi, Thailand

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3468784.3470656

Reference48 articles.

1. An Ensemble Learning Approach for Accurate Energy Load Prediction in Residential Buildings

2. A review of data-driven building energy consumption prediction studies

3. ASHRAE. 2019. ASHRAE - Great Energy Predictor III. https://www.kaggle.com/c/ashrae-energy-prediction ASHRAE. 2019. ASHRAE - Great Energy Predictor III. https://www.kaggle.com/c/ashrae-energy-prediction

4. CatBoost. 2021. Transforming categorical features to numerical features. Yandex. https://catboost.ai/docs/concepts/algorithm-main-stages_text-to-numeric.html?lang=en CatBoost. 2021. Transforming categorical features to numerical features. Yandex. https://catboost.ai/docs/concepts/algorithm-main-stages_text-to-numeric.html?lang=en

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