Publications

Accelerated dual dynamic integer programming applied to short-term power generation scheduling

Published in International Journal of Electrical Power and Energy Systems, 2023

In this paper we apply the dual dynamic integer programming (DDiP) to find solutions in the short-term power generation scheduling problem. Several improvements are presented to the DDiP, such as multiperiod strategies and overlapping.

Recommended citation: Santos, K.V, and Colonetti, B., and Finardi, E. C., and Zavala, V. M. Accelerated dual dynamic integer programming applied to short-term power generation scheduling. International Journal of Electrical Power and Energy Systems, vol. 145, 2023, 108689. https://doi.org/10.1016/j.ijepes.2022.108689 https://doi.org/10.1016/j.ijepes.2022.108689

Piecewise linear approximations for hydropower production function applied on the hydrothermal unit commitment problem

Published in International Journal of Electrical Power and Energy Systems, 2022

In this paper we propose different piecewise-linear formulations and improvements on the convex hull formulations for the hydropower production function consisting in plant-based models.

Recommended citation: Santos, K.V, and Finardi, E. C. Piecewise linear approximations for hydropower production function applied on the hydrothermal unit commitment problem. International Journal of Electrical Power and Energy Systems, vol. 135, 2022, 107464. https://doi.org/10.1016/j.ijepes.2021.107464 https://doi.org/10.1016/j.ijepes.2021.107464

Fukunaga-Koontz Convolutional Network with Applications on Character Classification

Published in Neural Processing Letters, 2020

Recommended citation: Gatto, B.B., dos Santos, E.M., Fukui, K. et al. Fukunaga–Koontz Convolutional Network with Applications on Character Classification. Neural Process Lett 52, 443–465 (2020). https://doi.org/10.1007/s11063-020-10244-5. https://doi.org/10.1007/s11063-020-10244-5

A semi-supervised convolutional neural network based on subspace representation for image classification

Published in EURASIP Journal on Image and Video Processing, 2020

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Recommended citation: Gatto, B.B., Souza, L.S., dos Santos, E.M. et al. A semi-supervised convolutional neural network based on subspace representation for image classification. J Image Video Proc. 2020, 22 (2020). https://doi.org/10.1186/s13640-020-00507-5 https://doi.org/10.1186/s13640-020-00507-5