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Eugénia Vinagre
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Electrical energy consumption forecast using support vector machines
E Vinagre, T Pinto, S Ramos, Z Vale, JM Corchado
2016 27th International Workshop on Database and Expert Systems Applications …, 2016
402016
Electrical energy consumption forecast using external facility data
E Vinagre, L Gomes, Z Vale
2015 IEEE Symposium Series on Computational Intelligence, 659-664, 2015
322015
Smart grids data management: a case for cassandra
G Pinheiro, E Vinagre, I Praça, Z Vale, C Ramos
Distributed Computing and Artificial Intelligence, 14th International …, 2018
152018
Intelligent energy forecasting based on the correlation between solar radiation and consumption patterns
E Vinagre, JF De Paz, T Pinto, Z Vale, JM Corchado, O Garcia
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2016
142016
Knowledge management system for big data in a smart electricity grid context
E Vinagre, T Pinto, G Pinheiro, Z Vale, C Ramos, JM Corchado
International Forum on Knowledge Asset Dynamics, 2017, 2018
12018
Big Data in Efficient Smart Grids Management
E Vinagre, T Pinto, Z Vale, C Ramos
International Conference on Practical Applications of Agents and Multi-Agent …, 2017
12017
Shared intelligence platform for collaborative simulations using sequences of algorithms: An electricity market participation case study
E Vinagre, T Pinto, I Praça, L Gomes, J Soares, Z Vale
2017 IEEE Manchester PowerTech, 1-6, 2017
12017
Shared Intelligence for smart grids management
I Praça, J Soares, L Gomes, E Vinagre, Z Vale, LA Belhaj
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
12016
An emotional and context-aware model for adapting RSS news to users and groups
E Vinagre, G Marreiros, C Ramos, L Figueiredo
Progress in Artificial Intelligence: 14th Portuguese Conference on …, 2009
12009
Adapting Information Displays Contents in Smart Spaces according User Emotions and Personality.
E Vinagre, G Marreiros, C Ramos, L Figueiredo
Intelligent Environments (Workshops), 313-320, 2009
2009
Intelligent Energy Forecasting based on the Correlation between Solar Radiation and Consumption patterns
JF De Paz, T Pinto, E Vinagre, Z Vale, JM Corchado
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Articles 1–11