Troncoso's research focuses on time series forecasting, big data, and deep learning, with applications in energy and environmental sciences. Her work includes the development of machine learning algorithms for time series prediction and energy forecasting. Key publications include: • A 2007 study on
electricity market price forecasting using nearest-neighbor techniques, published in
IEEE Transactions on Power Systems. • A 2019 study on
solar power forecasting using deep learning, published in
Expert Systems. • A 2025 study introducing a new metric to evaluate explain-ability techniques for
machine learning models in time series forecasting, published in
IEEE Transactions on Pattern Analysis and Machine Intelligence. According to Google Scholar, she has authored over 200 publications with an h-index above 40. Troncoso has supervised several
doctoral dissertations and led research projects funded by the
European Union and the
Spanish government.
Leadership and affiliations Troncoso has been President of the Spanish Association for Artificial Intelligence (AEPIA) since 2021. == Awards and recognition ==