A Fast Smoothing Procedure for Large-Scale Stochastic Programming [abstract] [paper] Martin Biel, Vien Van Mai, Mikael Johansson. 2021 IEEE CDC
Optimal Day-Ahead Orders Using Stochastic Programming and Noise-Driven Recurrent Neural Networks [abstract] [paper] [presentation] Martin Biel. 2021 IEEE Madrid PowerTech
Distributed L-shaped Algorithms in Julia [abstract] [paper] [presentation] Martin Biel, Mikael Johansson. 2018 IEEE/ACM Parallel Applications Workshop, Alternatives To MPI (PAW-ATM)
Efficient trajectory reshaping in a dynamic environment [abstract] [paper] [presentation] Martin Biel, Mikael Norrlöf. 2018 IEEE 15th International Workshop on Advanced Motion Control (AMC)
SiMpLIfy: A toolbox for structured model reduction [abstract] [paper] Martin Biel, Farhad Farokhi, Henrik Sandberg. Control Conference (ECC), 2015 European
Dynamic cut aggregation in L-shaped algorithms [abstract] [paper] Martin Biel, Mikael Johansson. arXiv
Optimal day-ahead orders using stochastic programming and noise-driven RNNs [abstract] [paper] Martin Biel. arXiv
Efficient Stochastic Programming in Julia [abstract] [paper] Martin Biel, Mikael Johansson. arXiv
POLO: a POLicy-based Optimization library [abstract] [paper] Arda Aytekin, Martin Biel, Mikael Johansson. arXiv
Distributed Stochastic Programming with Applications to Large-Scale Hydropower Operations [abstract] [thesis] [presentation] Martin Biel. Doctoral Thesis, 2021
Distributed Stochastic Programming with Applications to Large-Scale Hydropower Operations [abstract] [thesis] [presentation] Martin Biel. Licentiate Thesis, 2019
Sensor-Based Trajectory Optimization [abstract] [thesis] [presentation] Martin Biel. Master Thesis, 2016
