Using decision tree to select forecasting algorithms in distinct electricity consumption context of an office building
Author:
Funder
Fundação para a Ciência e a Tecnologia
European Regional Development Fund
Programa Operacional Temático Factores de Competitividade
Publisher
Elsevier BV
Subject
General Energy
Reference6 articles.
1. A demand response approach to scheduling constrained load shifting;Faria;Energies,2019
2. O. Yaman, H. Yetis, M. Karakose, Decision tree based customer analysis method for energy planning in smart cities. In: International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), Sakheer, Bahrain; 2020, p. 1–4.
3. X. Yu, et al. Load forecasting based on smart meter data and gradient boosting decision tree. In: Chinese Automation Congress (CAC), Hangzhou, China; 2019, p. 4438–42.
4. H. Kang, H. Zhao, . others, T. Ai, The Description of Optimal Decision Tree Algorithm and Its Application in Customer Consumption Behavior. In: IEEE International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), Chongqing, China; 2020, p. 655–59.
5. O. Abrishambaf, P. Faria, Z. Vale, Energy resource scheduling in an agriculture system using a decision tree approach. In: 20th International Conference on Intelligent System Application to Power Systems (ISAP), New Delhi, India; 2019, p. 1–5.
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