Short-term Energy Forecasting using the Regression Tsetlin Machine
Author:
Affiliation:
1. University of Stavanger, Stavanger, NO
2. University of Agder, Grimstad, NO
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3603166.3632543
Reference29 articles.
1. K Darshana Abeyrathna, Ole-Christoffer Granmo, Lei Jiao, and Morten Goodwin. 2019. The regression Tsetlin machine: a Tsetlin machine for continuous output problems. In EPIA Conference on Artificial Intelligence. Springer, 268--280.
2. K. Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Lei Jiao, and Morten Goodwin. 2019. The Regression Tsetlin Machine - A Novel Approach to Interpretable Non-Linear Regression. Philosophical Transactions of the Royal Society A 378 (2019). Issue 2164.
3. Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption
4. Forecasting energy consumption with the data reliability estimatimation in the management of hybrid energy system using fuzzy decision trees
5. Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications
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