2019
DOI: 10.3390/en12112082
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On the Influence of Renewable Energy Sources in Electricity Price Forecasting in the Iberian Market

Abstract: The mainstream of EU policies is heading towards the conversion of the nowadays electricity consumer into the future electricity prosumer (producer and consumer) in markets in which the production of electricity will be more local, renewable and economically efficient. One key component of a local short-term and medium-term planning tool to enable actors to efficiently interact in the electric pool markets is the ability to predict and decide on forecast prices. Given the progressively more important role of r… Show more

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Cited by 13 publications
(7 citation statements)
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“…In 2019, the main focus of the papers was the same as in 2018: 1) evaluating the performance of different deep recurrent networks (mostly LSTMs) [16,30,45,47,[82][83][84], 2) proposing new hybrid deep learning methods usually based on LSTMs and CNNs [17,28,36,82,[85][86][87], or 3) employing regular DNN models [15,46,88]. Similarly, as with most studies in 2018, the new studies were more limited than [12,59] as no comparisons with state-of-the-art statistical methods were made and long test datasets were seldom used.…”
Section: Deep Learningmentioning
confidence: 99%
“…In 2019, the main focus of the papers was the same as in 2018: 1) evaluating the performance of different deep recurrent networks (mostly LSTMs) [16,30,45,47,[82][83][84], 2) proposing new hybrid deep learning methods usually based on LSTMs and CNNs [17,28,36,82,[85][86][87], or 3) employing regular DNN models [15,46,88]. Similarly, as with most studies in 2018, the new studies were more limited than [12,59] as no comparisons with state-of-the-art statistical methods were made and long test datasets were seldom used.…”
Section: Deep Learningmentioning
confidence: 99%
“…The electric power market got considerable interest from research over the last few years [1]- [3]. Proposing accurate forecasting methods of the electricity price (EP) is very difficult due to the unique electric price features for instance highfrequency, non-linearity performance and seasonality, climatic variables, high volatility, a high percentage of unusual prices, plus the influence of renewable energy resources [4]- [6]. This makes the price forecasting procedure a challenging job for the researchers [7].…”
Section: Introductionmentioning
confidence: 99%
“…Renewable energy resources are the good choices for us. Wind and Solar Energy resources are the most popular resources [1][2][3][4]. Some countries have planned to use the renewable energy resources to replace the fossil fuels [5][6][7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%