Laboratory of Applied Mathematical Programming and Statistics (LAMPS PUC-Rio) (LAMPSPUC)

Laboratory of Applied Mathematical Programming and Statistics (LAMPS PUC-Rio)

LAMPSPUC

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Laboratory for research and development on mathematical programming (optimization) and statistics. Electrical and Industrial Engineering departments, PUC-Rio.

Location:Brazil

Home Page:http://www.puc-rio.br/lamps

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Laboratory of Applied Mathematical Programming and Statistics (LAMPS PUC-Rio)'s repositories

StateSpaceModels.jl

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

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ScoreDrivenModels.jl

Score-driven models, aka generalized autoregressive score models, in Julia

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PWF.jl

A Julia package for reading the Brazilian electric power system file ".pwf".

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StateSpaceLearning.jl

StateSpaceLearning.jl is a Julia package for time-series analysis using state space learning framework.

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HydroPowerModels.jl

A Julia/JuMP package for Hydrothermal Multistage Steady-State Power Network Optimization solved by Stochastic Dual Dynamic Programming (SDDP).

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SchwartzSmith.jl

Implementation of the Schwartz Smith model

SARIMAX.jl

Julia Package with SARIMA model implementation using JuMP.

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Teaching.jl

Teaching materials for LAMPS related courses

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ForecastAccuracy.jl

Implementation of forecast accuracy measures

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GridAnalysis.jl

Package to support grid Analysis.

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NonParametricNORTA.jl

NORTA.jl implements the Normal to Anything (NORTA) concept, leveraging Julia's framework to provide a unique approach that utilizes non-parametric distribution fitting methods, thereby enhancing efficiency by eliminating the need for explicit correlation matrix computations.

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OptimalEnergyBid.jl

OptimalEnergyBid

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INFORMS_Bilevel

Scripts for presentation Bilevel Optimization And Automatic Dualization Applied To Power Systems INFORMS General Meeting 2020

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