Sosnovskikh, S., Valko, D., & Meyer-Alten, R. (2025). Predictors of sustainable investment motivation: An interpretable machine learning approach. Sustainable Development, doi.org/10.1002/sd.3387
Valko, D., & Kudenko, D. (2025). Hybrid pathfinding optimization for the lightning network with reinforcement learning. Engineering Applications of Artificial Intelligence, doi.org/10.1016/j.engappai.2025.110225
Valko, D., & Kudenko, D. (2024). Increasing energy efficiency of bitcoin infrastructure with reinforcement learning and one-shot path planning for the lightning network. Neural Computing and Applications, doi.org/10.1007/s00521-024-10588-2
Valko, D., & Kudenko, D. (2024). Reducing CO₂ emissions in a peer-to-peer distributed payment network: Does geography matter in the lightning network? Computer Networks, doi.org/10.1016/j.comnet.2024.110297
Valko, D., Alsharif, S., & Tolk, D. (2024). An open-source carbon emissions simulator for smart grid co-simulation scenarios. In Proc. of the European Simulation and Modelling Conference 2024 (ESM 2024), San Sebastian, Spain, doi.org/10.5281/zenodo.13984401
Valko, D., Alsharif, S., Tolk, D., & Grimm, T. (2024). MASSCA: Scalable multi-agent system framework for smart power cell co-simulation. In Proc. of the European Simulation and Modelling Conference 2024 (ESM 2024), San Sebastian, Spain, doi.org/10.5281/zenodo.14004357
