Energy Efficiency Evaluation of Frameworks for Algorithms in Time Series Forecasting
Author:
Affiliation:
1. Department of Computer Engineering, Automatics and Robotics, CITIC-UGR, University of Granada, 18014 Granada, Spain
2. Department of Communications Engineering, University of Málaga, 29071 Málaga, Spain
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/68/1/30/pdf
Reference21 articles.
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3. Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders;Chou;Energy,2018
4. Merelo-Guervós, J.J., García-Valdez, M., and Castillo, P.A. (2023, January 6–8). Energy Consumption of Evolutionary Algorithms in JavaScript. Proceedings of the 17th Italian Workshop, WIVACE 2023, Venice, Italy.
5. A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters;Escobar;Computing,2023
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