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Zita Vale

Progress in Artificial Intelligence: 18th EPIA Conference on Artificial Intelligence, EPIA 2017, Porto, Portugal, September 5–8, 2017, Proceedings
2017 · Lopes Cardoso, Henrique, Vale, Zita, et al. · Lecture notes in computer science · 41
Pathways to reduce carbon dioxide emissions from China’s urban building expansion
2026 · Yiheng Su, Shiqiang Tang, et al. · Communications Sustainability · 6
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Forecasting the Total Consumption of an Office Building with Diverse Sensor Data
2026 · Daniel Ramos, Pedro Faria, et al. · Lecture notes in computer science
Artificial intelligence for forecasting, optimization, and energy storage in energy communities: a review
2026 · Fernando Lezama, Tayenne Dias de Lima, et al. · Artificial Intelligence Review
Photovoltaic Panel Power Data from 2017-2023 in Porto, Portugal
2026 · Vale, Zita, Faria, Pedro, et al. · Zenodo (CERN European Organization for Nuclear Research)
CLASH: An Energy-Aware Service for Building Load Forecasting Computation
2026 · Rui Carvalho, Pedro Faria, et al. · Lecture notes in computer science
Energy Storage Management with Day-Ahead and Real-Time Planning for Energy Communities
2026 · Bruno Ribeiro, Ricardo Faia, et al. · Lecture notes in computer science
Explainable Boosting Machine for Energy Consumption in Buildings
2026 · Daniel Ramos, Pedro Faria, et al. · Lecture notes in computer science
Intelligent IoT Device Powered by AI-Based Models for Forecast and Classification
2026 · Gabriel Araújo, Luis Gomes, et al. · Lecture notes in computer science
Works count: 9
Citation count: 47
H-index: 2
I10-index: 1
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