BIDASGRI: Tecnologías Big Data para Smart Grids

Referencia: US-1263341

Tipo: Proyecto de investigación
Programa financiador: Proyectos I+D+i FEDER Andalucía 2014-2020
Entidad financiadora: Junta de Andalucía (Consejería de Economía y Conocimiento)
Ámbito: Autonómico
Convocatoria competitiva:
Fecha de inicio: 01/02/2020
Fecha de fin: 30/04/2022
Participantes en la financiación
Publicaciones relacionadas
Tipo Año Título Fuente
Artículo 2022 Data streams classification using deep learning under different speeds and drifts Logic Journal of the IGPL
Ponencia 2022 Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)
Artículo 2022 MOMIC: A multi-omics pipeline for data analysis, integration and interpretation APPLIED SCIENCES-BASEL
Artículo 2022 Object detection using depth completion and camera-LiDAR fusion for autonomous driving INTEGRATED COMPUTER-AIDED ENGINEERING
Ponencia 2022 Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)
Artículo 2021 An experimental review on deep learning architectures for time series forecasting International Journal of Neural Systems
Artículo 2021 Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance NEUROCOMPUTING
Artículo 2021 Evolutionary 3D image segmentation of curve epithelial tissues of drosophila melanogaster APPLIED SCIENCES-BASEL
Artículo 2021 Generating a seismogenic source zone model for the Pyrenees: a GIS-assisted triclustering approach COMPUTERS & GEOSCIENCES
Artículo 2021 OCEAn: ordinal classification with an ensemble approach INFORMATION SCIENCES
Artículo 2021 On the performance of one-stage and two-stage object detectors in autonomous vehicles using camera data REMOTE SENSING
Artículo 2021 Rationale for timing of follow-up visits to assess gluten-free diet in celiac disease patients based on data mining NUTRIENTS
Artículo 2021 Use of deep learning architectures for day-ahead electricity price forecasting over different time periods in the Spanish electricity market APPLIED SCIENCES-BASEL
Artículo 2020 Temporal convolutional networks applied to energy-related time series forecasting APPLIED SCIENCES-BASEL
Nota: la fuente de financiación de las publicaciones se ha obtenido de WOS