20 citations · 28 across the 6 of their papers we have counts for
6 papers
Large-scale hydropower models in StochasticPrograms.jl
Martin Biel
We present three large-scale hydropower planning models implemented in our open-source software framework StochasticPrograms.jl developed using the Julia programming langugage. The…
Dynamic cut aggregation in L-shaped algorithms
Martin Biel, Mikael Johansson
We present a novel framework for dynamic cut aggregation in L-shaped algorithms. The aim is to improve the parallel performance of distributed L-shaped algorithms through reduced c…
Optimal day-ahead orders using stochastic programming and noise-driven RNNs
Martin Biel
This paper presents a methodology for strategic day-ahead planning that uses a combination of deep learning and optimization. A noise-driven recurrent neural network structure is p…
Efficient Stochastic Programming in Julia
Martin Biel, Mikael Johansson
We present StochasticPrograms.jl, a user-friendly and powerful open-source framework for stochastic programming written in the Julia language. The framework includes both modeling…
POLO: a POLicy-based Optimization library
Arda Aytekin, Martin Biel, Mikael Johansson
We present POLO --- a C++ library for large-scale parallel optimization research that emphasizes ease-of-use, flexibility and efficiency in algorithm design. It uses multiple inher…
SiMpLIfy: A Toolbox for Structured Model Reduction
Martin Biel, Farhad Farokhi, Henrik Sandberg
In this paper, we present a toolbox for structured model reduction developed for MATLAB. In addition to structured model reduction methods using balanced realizations of the subsys…