Time Series Prediction

IRIS (2016-2020)

2018-11-14T22:56:02+00:00

The IRIS project aims to address questions related to the massive penetration of intermittent power sources (such as wind and solar) into the Brazilian grid, covering aspects ranging from electrical and operational issues to regulatory improvements to cope with this new scenario.

The IRIS project counts with the support of federal agencies and institutes such as EPE (governmental research company), ANEEL (local regulator) and ONS (local ISO).

BID-MONITOR (2015-2017)

2018-04-12T13:45:28+00:00
The BID-MONITOR was an R&D project sponsored by Elektro, Santa Elina and Aratu, whose goal was to develop a system able to automatically capture and monitor different sources of information (from the web) to, thus, monitor the behavior of the data relevant to the participation of a small generator or a distribution company in electricity auctions. For this purpose, an early warning system was developed to provide early support to decision makers so that they are now able to more accurately determine when and how much electricity to trade.

AES Tietê R&D (2010-2012)

2016-11-17T14:07:20+00:00

Beginning in 2010, Venidera worked together with a research team from the Faculty of Civil Engineering (Unicamp) to develop a model and a decision support systems for optimizing the dispatch decisions of turning on and off individual generators with the goal of maximizing production (and, consequently, reducing the water consumption). Results were outstanding and also published in many websites and journals, such as:

ANEEL Strategic Call R&D (2010-2012)

2014-09-08T17:03:00+00:00

While Ph.D. researchers, Marcos Leone Filho (Venidera’s co-founder), André Toscano (Venidera’s co-founder) and Makoto Kadowaki (Venidera’s team member) actively contributed in this project helping to build a non-linear deterministic optimization model for the Brazilian National Interconnected System. The goal of this model was to provide individualized optimization dispatch decisions for planning the Brazilian generation system. Moreover, parallel computing and a computer cluster were used to cope with the huge processing times of this model.

Elektro/Unicamp R&D (2008-2010)

2014-09-08T16:27:39+00:00

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.

CESP/Unicamp R&D (2007-2008)

2014-09-08T16:24:10+00:00

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.

CPFL/Unicamp R&D (2005-2006)

2014-09-08T16:18:46+00:00

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.

Go to Top