Zita Vale
AuthID: R-000-HRR
341
TÃTULO: Electricity Price Forecast for Futures Contracts with Artificial Neural Network and Spearman Data Correlation
AUTORES: Nascimento, J; Pinto, T ; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: 15th International Conference on Distributed Computing and Artificial Intelligence in DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, VOLUME: 801
AUTORES: Nascimento, J; Pinto, T ; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: 15th International Conference on Distributed Computing and Artificial Intelligence in DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, VOLUME: 801
342
TÃTULO: Demand Response Implementation in an Optimization Based SCADA Model Under Real-Time Pricing Schemes
AUTORES: Khorram, M; Faria, P; Abrishambaf, O; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: 15th International Conference on Distributed Computing and Artificial Intelligence in DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, VOLUME: 801
AUTORES: Khorram, M; Faria, P; Abrishambaf, O; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: 15th International Conference on Distributed Computing and Artificial Intelligence in DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, VOLUME: 801
343
TÃTULO: Agent-based architecture for demand side management using real-time resources' priorities and a deterministic optimization algorithm
AUTORES: Gomes, L; Spinola, J; Vale, Z; Corchado, JM;
PUBLICAÇÃO: 2019, FONTE: JOURNAL OF CLEANER PRODUCTION, VOLUME: 241
AUTORES: Gomes, L; Spinola, J; Vale, Z; Corchado, JM;
PUBLICAÇÃO: 2019, FONTE: JOURNAL OF CLEANER PRODUCTION, VOLUME: 241
344
TÃTULO: Day-ahead electricity market price forecasting using artificial neural network with spearman data correlation
AUTORES: Nascimento, J; Pinto, T ; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: 2019 IEEE Milan PowerTech, PowerTech 2019 in 2019 IEEE Milan PowerTech, PowerTech 2019
AUTORES: Nascimento, J; Pinto, T ; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: 2019 IEEE Milan PowerTech, PowerTech 2019 in 2019 IEEE Milan PowerTech, PowerTech 2019
345
TÃTULO: Electricity consumption forecasting in office buildings: An artificial intelligence approach
AUTORES: Jozi, A; Pinto, T ; Marreiros, G; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: 2019 IEEE Milan PowerTech, PowerTech 2019 in 2019 IEEE Milan PowerTech, PowerTech 2019
AUTORES: Jozi, A; Pinto, T ; Marreiros, G; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: 2019 IEEE Milan PowerTech, PowerTech 2019 in 2019 IEEE Milan PowerTech, PowerTech 2019
346
TÃTULO: Influence of Combining Real-time and Fixed Tariffs in the Demand Response Aggregation and Remuneration Scheems Definition
AUTORES: Silva, C; Faria, P; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: IEEE Milan PowerTech Conference in 2019 IEEE MILAN POWERTECH
AUTORES: Silva, C; Faria, P; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: IEEE Milan PowerTech Conference in 2019 IEEE MILAN POWERTECH
347
TÃTULO: Modeling of Consumer Preferences and Constraints for the Optimal Schedule of Consumption Shifting
AUTORES: Faria, P; Spinola, J; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: IEEE Milan PowerTech Conference in 2019 IEEE MILAN POWERTECH
AUTORES: Faria, P; Spinola, J; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: IEEE Milan PowerTech Conference in 2019 IEEE MILAN POWERTECH
348
TÃTULO: Fair Remuneration of Energy Consumption Flexibility Using Shapley Value
AUTORES: Faia, Ricardo; Pinto, Tiago ; Vale, Zita;
PUBLICAÇÃO: 2019, FONTE: 19th EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2019, PT I, VOLUME: 11804
AUTORES: Faia, Ricardo; Pinto, Tiago ; Vale, Zita;
PUBLICAÇÃO: 2019, FONTE: 19th EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2019, PT I, VOLUME: 11804
349
TÃTULO: Demonstration of an Energy Consumption Forecasting System for Energy Management in Buildings
AUTORES: Jozi, Aria; Ramos, Daniel; Gomes, Luis; Faria, Pedro; Pinto, Tiago ; Vale, Zita;
PUBLICAÇÃO: 2019, FONTE: 19th EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2019, PT I, VOLUME: 11804
AUTORES: Jozi, Aria; Ramos, Daniel; Gomes, Luis; Faria, Pedro; Pinto, Tiago ; Vale, Zita;
PUBLICAÇÃO: 2019, FONTE: 19th EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2019, PT I, VOLUME: 11804
350
TÃTULO: Contextual Simulated Annealing Q-Learning for Pre-negotiation of Agent-Based Bilateral Negotiations
AUTORES: Pinto, Tiago ; Vale, Zita;
PUBLICAÇÃO: 2019, FONTE: 19th EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2019, PT I, VOLUME: 11804
AUTORES: Pinto, Tiago ; Vale, Zita;
PUBLICAÇÃO: 2019, FONTE: 19th EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2019, PT I, VOLUME: 11804
