R&D

In 2008, Marcos Leone Filho (Venidera’s co-founder) actively contributed in this R&D project which main goal was to develop a prediction model for evaluating Elektro’s electricity market evolution in its many different regional branches. In this context, Marcos developed an ensemble of predictors which were finely tuned for each regional.

In 2008, André Emilio Toscano (Venidera’s co-founder) and Makoto Kadowaki (Venidera’s team member) actively participated in the implementation of this research and development project which goal was to define a technique for automatic validation of the post-operational data of hydroelectric generator units to improve operation’s decision support models of Duke Energy.

In 2007, André Emilio Toscano (Venidera’s co-founder) and Makoto Kadowaki (Venidera’s team member) actively participated in the implementation of this research and development project which goal was to implement a decision support system for the optimal dispatch schedule of CESP’s hydroelectric generating units.

In 2007, André Emilio Toscano (Venidera’s co-founder) and Makoto Kadowaki (Venidera’s team member) actively participated in the implementation of this research and development project that aimed to produce revenue short term forecasts using a computational system to forecast the hydroelectric generation dispatch for the plants of the SIN (Brazilian National Interconnected Electric System) by load levels on weekly basis integrated with the CESP’s corporate management system.

In 2006, Marcos Leone Filho (Venidera’s co-founder) actively participated in this research and development project which goal was to develop an optimization model for improving CTEEP’s transformers tap changing operation in order to minimize with voltages drops during peak demand hours.

In 2005, Marcos Leone Filho (Venidera’s co-founder) and Makoto Kadowaki (Venidera’s team member) actively participated in this research and development project which goal was to develop an optimized technique for predicting short to mid term CPFL’s localized electrictricity consumption and billing. At that moment, a poll of models were utilized, ranging from classical statistical models (such as ARMA and ARIMA) to artificial neural networks.

In 2004, André Emilio Toscano (Venidera’s co-founder) was part of the team (intern) in this research and development project which goal was to evaluate the Unicamp’s chain of optimization models for hydrothermal coordination applied for efficient scheduling in the Brazilian National Interconnected System (SIN).

In 2001, Makoto Kadowaki (Venidera’s team member), actively participated in this R&D project in which a software was developed for hourly, daily, weekly and monthly load prediction.

In 2001, Makoto Kadowaki (Venidera’s team member) actively contributed to this R&D project which main goal was to develop Inflows Prediction Models for the Paranapanema river.