Optimal Input Variables Disposition of Artificial Neural Networks Models for Enhancing Time Series Forecasting Accuracy
Author:
Affiliation:
1. Laboratory of Mechanics, Department of Physics, University of Yaoundé I, Yaoundé, Cameroon
2. Department of Electrical and Power Engineering, HTTTC, University of Bamenda, Bamenda, Cameroon
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2020.1782003
Reference32 articles.
1. Short-term photovoltaic power forecasting using Artificial Neural Networks and an Analog Ensemble
2. Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency
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