Aria Jozi

11 papers B 2Journal 1Unranked 8
YearRankTypeTitle / Venue / Authors
2023 — conf
Rule-Based System for Intelligent Energy Management in Buildings.
EPIA (2)
Aria Jozi, Tiago Pinto, Luis Gomes, Goreti Marreiros, Zita Vale
2019 — conf
Demonstration of an Energy Consumption Forecasting System for Energy Management in Buildings.
EPIA (1)
Aria Jozi, Daniel Ramos, Luis Gomes, Pedro Faria, Tiago Pinto, Zita A. Vale
2019 J jnl
IoH: A Platform for the Intelligence of Home with a Context Awareness and Ambient Intelligence Approach.
Future Internet
Luis Gomes, Carlos Ramos, Aria Jozi, Bruno Serra, Lucas Paiva, Zita A. Vale
2018 B conf
Day ahead electricity consumption forecasting with MOGUL learning model.
IJCNN
Aria Jozi, Tiago Pinto, Isabel Praça, Zita A. Vale, João P. Soares
2018 — conf
Day-ahead forecasting approach for energy consumption of an office building using support vector machines.
SSCI
Aria Jozi, Tiago Pinto, Isabel Praça, Zita A. Vale
2017 — conf
Economic Evaluation of Predictive Dispatch Model in MAS-Based Smart Home.
PAAMS (Special Sessions)
Amin Shokri Gazafroudi, Francisco Prieto Castrillo, Tiago Pinto, Aria Jozi, Zita A. Vale
2017 — conf
Energy consumption forecasting using neuro-fuzzy inference systems: Thales TRT building case study.
SSCI
Aria Jozi, Tiago Pinto, Isabel Praça, Sérgio Ramos, Zita A. Vale, Bénédicte Goujon, Teodora Petrisor
2017 — conf
Energy flexibility assessment of a multi agent-based smart home energy system.
ICUWB
Amin Shokri Gazafroudi, Tiago Pinto, Francisco Prieto Castrillo, Juan Manuel Corchado, Omid Abrishambaf, Aria Jozi, Zita A. Vale
2017 B conf
Organization-based Multi-Agent structure of the Smart Home Electricity System.
CEC
Amin Shokri Gazafroudi, Tiago Pinto, Francisco Prieto Castrillo, Javier Prieto, Juan Manuel Corchado, Aria Jozi, Zita A. Vale, Ganesh Kumar Venayagamoorthy
2016 — conf
Energy consumption forecasting based on Hybrid Neural Fuzzy Inference System.
SSCI
Aria Jozi, Tiago Pinto, Isabel Praça, Francisco Silva, Brigida Teixeira, Zita A. Vale
2016 — conf
Wang and Mendel's fuzzy rule learning method for energy consumption forecasting considering the influence of environmental temperature.
GIIS
Aria Jozi, Tiago Pinto, Isabel Praça, Francisco Silva, Brigida Teixeira, Zita A. Vale