D
Diego Carmona-Fernández
Researcher at University of Extremadura
Publications - 8
Citations - 447
Diego Carmona-Fernández is an academic researcher from University of Extremadura. The author has contributed to research in topics: Demand forecasting & Time series. The author has an hindex of 4, co-authored 6 publications receiving 405 citations.
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Monthly Electric Energy Demand Forecasting Based on Trend Extraction
TL;DR: In this paper, the authors proposed a novel approach to monthly electric energy demand time series forecasting, in which it is split into two new series: the trend and the fluctuation around it, and two neural networks are trained to forecast them separately.
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Monthly electric energy demand forecasting with neural networks and Fourier series
TL;DR: This work investigates the periodic behavior of the Spanish monthly electric demand series, obtained by rejecting the trend from the consumption series and proposes a novel hybrid approach, which is forecasted with a Fourier series while the trend is predicted with a neural network.
Journal ArticleDOI
Forecasting of the electric energy demand trend and monthly fluctuation with neural networks
TL;DR: This paper proposes the extraction of that trend to perform separate predictions of both tendency and fluctuation with neural networks, which will be summed up to obtain the series forecasting.
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Monthly electric demand forecasting with neural filters
TL;DR: It has been proved that a Multilayer Perceptron is able to perform both filtering and forecasting at once if properly trained, and well suited to behave as a digital filter.
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Improving Artificial Intelligence Forecasting Models Performance with Data Preprocessing: European Union Allowance Prices Case Study
Miguel A. Jaramillo-Morán,Daniel Fernández-Martínez,Agustín García-García,Diego Carmona-Fernández +3 more
TL;DR: In this article, the authors used the multilayer preceptron (MLP) and the Long Short-Term Memory (LSTM) along with another artificial intelligence algorithm (XGBoost) for time series forecasting of EUA prices.