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Alexander Marcial
Doctoral student
Department of Physics and Electrical Engineering
Faculty of Technology
alexander.svenssonmarcial@lnu.se
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My research groups
AI and machine learning for optimization and operations research
Under this research theme, we develop both mathematical theory and applications for artificial intelligence and machine learning in…
Stochastic Analysis and Stochastic Processes
The researchers of this group focus on analytical and numerical aspects of solutions to stochastic differential equations (SDE’s and SPDE’s) and stochastic…
My ongoing research projects
Project: Climate-smart agriculture
Within this project, we are developing a pilot plant for energy-efficient agriculture.
Project: Efficient planning of hydropower systems
In a future scenario, Sweden's production of electricity will consist of a larger share of intermittent types of energy production. Based on this,…
Project: Optimization for sustainable energy supply and food production in rural areas
The project is about how energy systems on farms can be optimized to realize the potential that farms have to be…
Publications
Article in journal (Refereed)
Marcial, A.
,
Perninge, M.
(2024).
Finding a closest saddle-node bifurcation in power systems : An approach by unsupervised deep learning
.
Electric power systems research
. 235.
Status: Published
Conference paper (Refereed)
Marcial, A.
,
Perninge, M.
(2023).
Production Planning of Cascaded Hydropower Stations using Approximate Dynamic Programming
.
IFAC-PapersOnLine : 22nd IFAC World Congress, Yokohama, Japan, July 9-14, 2023
. 10069-10076.
Marcial, A.
,
Perninge, M.
(2023).
An Unsupervised Neural Network Approach for Solving the Optimal Power Flow Problem
.
Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
. 214-220.
Marcial, A.
,
Perninge, M.
, Eriksson, R. (2022).
Risk-Averse Hydropower Planning for Bidding into Sequential Electricity Markets
.
2022 IEEE Conference on Control Technology and Applications, CCTA 2022
. 151-158.