J
Javier Contreras
Researcher at University of Castilla–La Mancha
Publications - 279
Citations - 13319
Javier Contreras is an academic researcher from University of Castilla–La Mancha. The author has contributed to research in topics: Electricity market & Wind power. The author has an hindex of 54, co-authored 271 publications receiving 11153 citations. Previous affiliations of Javier Contreras include Instituto Superior Técnico & University of Illinois at Urbana–Champaign.
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ARIMA models to predict next-day electricity prices
TL;DR: In this article, a method to predict next-day electricity prices based on the ARIMA methodology is presented, which is used to analyze time series and have been mainly used for load forecasting, due to their accuracy and mathematical soundness.
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Forecasting next-day electricity prices by time series models
TL;DR: In this article, the authors provide two highly accurate yet efficient price forecasting tools based on time series analysis: dynamic regression and transfer function models, which are explained and checked against each other.
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A GARCH forecasting model to predict day-ahead electricity prices
TL;DR: In this article, an approach to predict next-day electricity prices based on the Generalized Autoregressive Conditional Heteroskedastic (GARCH) methodology that is already being used to analyze time series data in general.
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Forecasting electricity prices for a day-ahead pool-based electric energy market
TL;DR: In this article, forecasting techniques to predict the 24 market-clearing prices of a day-ahead electric energy market were considered, including time series analysis, neural networks and wavelets, and extensive analysis was conducted using data from the PJM Interconnection.
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Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage
TL;DR: In this paper, a genetic algorithm is used to optimize the control of a stand-alone hybrid renewable electrical system with hydrogen storage, which can be composed of renewable sources (wind, PV and hydro), batteries, fuel cell, AC generator and electrolyzer.