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| Content Provider | Directory of Open Access Journals (DOAJ) |
|---|---|
| Author | Diego Aineto Javier Iranzo-Sánchez Lenin G. Lemus-Zúñiga Eva Onaindia Javier F. Urchueguía |
| 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 renewable production in local markets, we analyze the influence of renewable energy production on the electricity price in the Iberian market through historical records. The dependencies discovered in this analysis will serve to identify the forecasts to use as explanatory variables for an electricity price forecasting model based on recurrent neural networks. The results will show the wide impact of using forecasted renewable energy production in the price forecasting. |
| e-ISSN | 19961073 |
| DOI | 10.3390/en12112082 |
| Journal | Energies |
| Issue Number | 11 |
| Volume Number | 12 |
| Language | English |
| Publisher | MDPI AG |
| Publisher Date | 2019-05-01 |
| Publisher Place | Switzerland |
| Access Restriction | Open |
| Subject Keyword | Technology Day-ahead Market Recurrent Neural Networks Renewable Energies Electricity Market Electricity Price Forecasting |
| Content Type | Text |
| Resource Type | Article |
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