Autor: alexandrestreet
LAMPS DataHub - Monitoring and Power System Indices
[LAMPS DataHub] - In this application, we provide monitoring indices for the Brazilian power system. The first index showcases the wind and solar power generation performance in percentage values of […]
Automation of probabilistic time series forecasting: a new multimodel framework with optimal selection of explanatory variables applied to electricity consumption series.
The R&D project carried out with Energisa aims to create a new multimodel automation framework for the simulation (probabilistic forecasting) of time series with optimal selection of explanatory variables. The […]
COVID19analytics.com.br
Updated forecasts for the number of reported cases and deaths due to COVID-19 in Brasil - COVID19analytics.com.br This is an initiative of Prof. Alexandre Street (Electrical Engineering department at PUC-Rio), Davi […]
Analytics Tools
Energy Analytics - Monitoring and Forecasting Power System Indices [Click here to access the application] - monitoring indices for electricity consumption reduction in Brasil after COVID19. In this app we […]
Incorporating the effect of climate variability and contingencies in the optimal contracting strategy of transmission-usage amounts
R&D project between Energisa and LAMPS-PUC-Rio The main goal is to develop a computational tool capable of accounting for the uncertainty due to contingencies and climate variability in the optimal […]
Reliable integration of renewable energy to support climate mitigation
This project is supported by the Chilean government, under the CONICYT PCI/REDES 150008 - 2015 call. The aim of the project is to support international-network cooperation projects between research centers. In […]
Stochastic Dual Dynamic Programming Dispatch Tool
Sponsor: FGV. 2017. Development of a Stochastic Dual Dynamic Programming Dispatch Tool for simulating the dispatch of gas-to-wire thermal generation power plants.
Young Talents Attraction Program - Level A: Robust and probabilistic models for electricity power systems operation and planning with significant renewable energy integration
Young Talents Attraction Program - Level A Granted: David Pozo Coordinator: Alexandre Street Sponsor: CAPES-CNPq-MCTI SUMMARY Decision-making under uncertainty plays a key role in the operation and planning of restructured power systems. […]
FAPERJ Research grant for lab development in the state of Rio de Janeiro: Optimization models for power system planning under high levels of renewable integration
Sponsor: FAPERJ. 2014
Optimal Demand Contracting Strategy of a Distribution Company With the Transmission System Under High Level of Renewable Distributed Generation
Sponsor: Energisa group. Goal: To define the optimal amount of power flow contract that should be contracted for the next 4 years with the transmission system by a distribution company.
Forecast and Strategic Decision Models Applied to Energy
It concerns the development of analytic tools applied to Energy. Most of the energy-related activities require decision making under uncertainty. These types of models need to explicitly or implicitly represent the […]
Robust and Stochastic Optimization Models for Power Systems Planning and Operation
It concerns the study and development of mathematical optimization models and solution methodologies based on stochastic or robust optimization applied to power system planning and operation problems. Transmission and generation expansion […]
Optimal robust generation portfolio: a hybrid robust and stochastic optimization model
Sponsor: ENEVA. 2012. We present a new methodology to support an energy trading company (ETC) to devise contracting strategies under an optimal risk-averse renewable portfolio. The uncertainty in the generation […]
Fostering Renewables Competitiveness in the Brazilian Free Trading Market of Contracts
Sponsor: UTE Norte Fluminense (EDF). 2011 Goal: a renewable generation simulation tool capable to produce a Monte Carlo Simulation of a set of renewable units conditioned (paired) to the scenarios […]