Browsing by Author "Sánchez-Guardamino, Ignacio"
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Item Ensemble forecaster based on the combination of time-frequency analysis and machine learning strategies for very short-term wind speed prediction(2023-01-01) Rodríguez, Fermín; Alonso-Pérez, Sandra; Sánchez-Guardamino, Ignacio; Galarza, Ainhoa; Tecnalia Research & Innovation; DIGITAL ENERGYBased on the predictions of fossil fuels depletion in the following years, as well as their negative impact due to generated exhaust fumes, eco-friendly generators, and more specifically wind generators, have arisen as a solution for the electric demand challenge. Wind energy consists in extracting energy from wind speed, and because of the uncertain and intermittent behaviour of this meteorological parameter, wind turbines output power cannot be optimally exploited. Although the vast majority of the research in wind speed forecasting field has consisted in the purpose of novel algorithms, these studies have not made a pre-processing step of the data in order to try to extract the maximum information from databases. Therefore, the goal of this paper consists in analysing whether the combination of time-frequency decomposition of wind speed data with different machine learning algorithms can increase the accuracy of current wind speed predictions for 10 min ahead. Obtained error metrics demonstrated that the deviation of developed wind speed forecaster was lower than 0.1% in 62% of the validation database. In addition, the root mean square error of the final forecaster was 0.34 m/s. This means an accuracy increase of 51.5% if the result is compared with benchmark model's results.Item Non-intrusive, self-supplying and wireless sensor for monitoring grounding cable in smart grids(2020-12-01) Rodríguez, Fermín; Sánchez-Guardamino, Ignacio; Martín, Fernando; Fontán, Luis; Tecnalia Research & InnovationEnergy distribution companies have experienced an increase in catastrophic failures in power systems due to the theft of grounding cable. The objective of this study is to develop an innovative technology which is able to detect the absence of grounding cable in medium and high voltage systems. The wireless technology developed communicates periodically with the system's central control unit to ensure reliable and safe operation of the installation. Because it is not economically profitable to modify power systems’ infrastructure, this novel sensor is non-intrusive as well as self-supplying. Based on the validation step's results, we conclude that the sensor is ready to be tested in smart grid equipment to monitor the state of grounding cables.