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Publications - Journal Articles
YEAR
TITLE
AUTHORS
2022
Bottom-up modelling of electricity end-use consumption of the residential sector in Brazil
Cristiano André Teixeira, Ana Paula Melo, Michele Fossati, Roberto Lamberts
2022
A Global Building Occupant Behavior Database
Bing Dong, Yapan Liu, Wei Mu, Zixin Jiang, Pratik Pandey, Tianzhen Hong, Bjarne Olesen, Thomas Lawrence, Zheng O’Neil, Clinton Andrews, Elie Azar, Karol Bandurski, Ronita Bardhan, Mateus Bavaresco, Christiane Berger, Jane Burry, Salvatore Carlucci, Karin
2022
Assessment of the energy consumption in non-residential building sector in Brazil
Geraldi, M.S.; Melo, A.P.; Lamberts, R.; Borgstein, E.; Yukizaki, A. Y. G.; Maia, A. C. B.; Soares, J. B.; Junior, A.S.
2022
Assessing cooling loads from roofs with attics: Modeling versus field experiments
T.C. Quevedo, A.P. Melo, R. Lamberts
2022
A holistic approach for assessing architectural integration quality of solar photovoltaic rooftops and shading devices
I. Custódio a b, T. Quevedo c, A.P. Melo c, R. Rüther a b
2022
Integrating evidence-based thermal satisfaction in energy benchmarking: A data-driven approach for a whole-building evaluation
Geraldi, M.S.; Ghisi, E.
2022
Comparison between national and local benchmarking models: The case of public nursery schools in Southern Brazil
Veronica Martins Gnecco, Matheus Soares Geraldi, Michele Fossati, Maria Andrea Triana
2022
Achieving mid-rise NZEB offices in Brazilian urban centres: A control strategy with desk fans and extension of set point temperature
André, M; Kamimura, A.; Bavaresco, M.; Giaretta, R.F; Fossati, M.; Lamberts, R.
2022
Users’ assessment of personal fans in a warm office space in brazil
Maíra André, Carolina Buonocore, Luiza Castro, Roberto Lamberts
2022
Data-driven framework towards realistic bottom-up energy benchmarking using an Artificial Neural Network
Geraldi, M.S.; Ghisi, E.
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