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Forecasting energy time-series data using a fuzzy ARTMAP neural network
Date
2020
Abstract
Time-series forecasting is an important field of machine learning and is fundamental in analyzing trends based on historical data from various sources. In this paper, a fuzzy ARTMAP neural network for time series forecasting is presented. To validate the proposed system, two energy-related datasets from Great Britain were selected. With a promising processing time and accuracy as good as a traditional machine learning algorithm, the fuzzy ARTMAP neural network has shown that can be a good option to perform forecasting considering different time-based data issues.
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Description
peer-reviewed
Publisher
IEEE Computer Society
Citation
2020 International Conference on Power, Energy and Innovations (ICPEI);pp.1-4
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Funding Information
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior -Brasil (CAPES)