Use of self organizing map to identify precipitation patterns and assess their impact on hydrographic basins in Brazil

Autor: Yoshiaki Sakagami, Vinicius Nunes Folganes, Cesar Alberto Penz, Murilo Reolon Scuzziato, Fabrício Yutaka Kuwabata Takigawa

Publikováno v: Revista Brasileira de Recursos Hídricos, Vol 27 (2022)

ABSTRACT In this study, we used neural networks known as self-organizing maps (SOMs) to identify clusters of spatial synoptic precipitation patterns. These clusters were compared with the precipitation regime of the ten main hydrographic sub-basins i

Externí odkaz: https://doaj.org/article/353e562ec7cd4eb990019547c5fe49b5

A Mathematical Modeling for Contract Flexibility Optimization by Brazilian Free Consumers

Autor: Murilo Reolon Scuzziato, Fabricio Y. K. Takigawa, Daniel Tenfen, Rubipiara Cavalcante Fernandes

Publikováno v: IEEE Latin America Transactions. 18:1530-1537

In Brazil, free consumers must follow the criteria established by Law 9.074/95 and participate in the Free Contracting Environment (ACL), regulated by Decree 5.163/04, together with energy generators, traders, importers and exporters. These free cons

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d97960262724970e974161c92531bbbd
https://doi.org/10.1109/tla.2020.9381794

Comparing Spatial and Scenario Decomposition for Stochastic Hydrothermal Unit Commitment Problems

Autor: Erlon Cristian Finardi, Murilo Reolon Scuzziato, Antonio Frangioni

Publikováno v: IEEE transactions on sustainable energy
9 (2018): 1307–1317. doi:10.1109/TSTE.2017.2781908
info:cnr-pdr/source/autori:Scuzziato M.R.; Finardi E.C.; Frangioni A./titolo:Comparing Spatial and Scenario Decomposition for Stochastic Hydrothermal Unit Commitment Problems/doi:10.1109%2FTSTE.2017.2781908/rivista:IEEE transactions on sustainable energy (Print)/anno:2018/pagina_da:1307/pagina_a:1317/intervallo_pagine:1307–1317/volume:9

Solving very-large-scale optimization problems frequently require to decompose them in smaller subproblems, which are iteratively solved to produce useful information. One such approach is the Lagrangian relaxation (LR), a general technique that lead

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2a3799f3ec17632e1e8017288bb57d9
http://hdl.handle.net/11568/881373

Performance evaluation and energy production optimization in the real-time operation of hydropower plants

Autor: M.M. Cordova, V. L. de Matos, Erlon Cristian Finardi, Murilo Reolon Scuzziato, F.A.C. Ribas

Publikováno v: Electric Power Systems Research. 116:201-207

This paper describes a system for the performance evaluation and energy optimization of the real-time operation at Ita Hydropower Plant, which is located in southern Brazil. Using data collected from sensors and meters, several variables of the units

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9c7966a6b8ae901bd9de770f4e343875
https://doi.org/10.1016/j.epsr.2014.06.012

Hydro unit commitment and loading problem for day-ahead operation planning problem

Autor: Erlon Cristian Finardi, Murilo Reolon Scuzziato

Publikováno v: International Journal of Electrical Power & Energy Systems. 44:7-16

We describe a new model for the hydro unit commitment and loading (HUCL) problem that has been developed to be used as a support tool for day-ahead operation in the Brazilian system. The objective is to determine the optimal unit commitment and gener

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b7ff743abc5b4a852e45b76086e2cf11
https://doi.org/10.1016/j.ijepes.2012.07.023