Aria Jozi

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 11

Top Topics

Context Awareness

Ambient Intelligence

Top Venues

PAAMS (Special Sessions)

Publications

Aria Jozi, Tiago Pinto, Luis Gomes, Goreti Marreiros, Zita Vale
Rule-Based System for Intelligent Energy Management in Buildings. EPIA (2) (2023)
Luis Gomes, Carlos Ramos, Aria Jozi, Bruno Serra, Lucas Paiva, Zita A. Vale
IoH: A Platform for the Intelligence of Home with a Context Awareness and Ambient Intelligence Approach. Future Internet 11 (3) (2019)
Aria Jozi, Daniel Ramos, Luis Gomes, Pedro Faria, Tiago Pinto, Zita A. Vale
Demonstration of an Energy Consumption Forecasting System for Energy Management in Buildings. EPIA (1) (2019)
Aria Jozi, Tiago Pinto, Isabel Praça, Zita A. Vale, João P. Soares
Day ahead electricity consumption forecasting with MOGUL learning model. IJCNN (2018)
Aria Jozi, Tiago Pinto, Isabel Praça, Zita A. Vale
Day-ahead forecasting approach for energy consumption of an office building using support vector machines. SSCI (2018)
Amin Shokri Gazafroudi, Tiago Pinto, Francisco Prieto Castrillo, Javier Prieto, Juan Manuel Corchado, Aria Jozi, Zita A. Vale, Ganesh Kumar Venayagamoorthy
Organization-based Multi-Agent structure of the Smart Home Electricity System. CEC (2017)
Amin Shokri Gazafroudi, Francisco Prieto Castrillo, Tiago Pinto, Aria Jozi, Zita A. Vale
Economic Evaluation of Predictive Dispatch Model in MAS-Based Smart Home. PAAMS (Special Sessions) (2017)
Aria Jozi, Tiago Pinto, Isabel Praça, Sérgio Ramos, Zita A. Vale, Bénédicte Goujon, Teodora Petrisor
Energy consumption forecasting using neuro-fuzzy inference systems: Thales TRT building case study. SSCI (2017)
Amin Shokri Gazafroudi, Tiago Pinto, Francisco Prieto Castrillo, Juan Manuel Corchado, Omid Abrishambaf, Aria Jozi, Zita A. Vale
Energy flexibility assessment of a multi agent-based smart home energy system. ICUWB (2017)
Aria Jozi, Tiago Pinto, Isabel Praça, Francisco Silva, Brigida Teixeira, Zita A. Vale
Energy consumption forecasting based on Hybrid Neural Fuzzy Inference System. SSCI (2016)
Aria Jozi, Tiago Pinto, Isabel Praça, Francisco Silva, Brigida Teixeira, Zita A. Vale
Wang and Mendel's fuzzy rule learning method for energy consumption forecasting considering the influence of environmental temperature. GIIS (2016)