•)	D. Schlar & W. Posch (2024): Digitally Enabled Multi-Criteria Decision Making For Energy Efficiency Projects. In: D. Herberger & M. Hübner (eds): Proceedings of the Conference on Production Systems and Logistics: CPSL 2024. pp. 539-551, Conference on Production Systems and Logistics 2024, Mānoa Honolulu, Hawaii, United States, 9/07/24. https://doi.org/10.15488/17742
•)	Schlar, D., Grogger, D., & Posch, W. (2024). A Survey on Drivers, Obstacles and Economic Effects of Digitalization in the Energy-Intensive Industry. In Conference Proceedings New Energy for Industry 2024: 3rd Conference of the Innovation Network (pp. 64-66). NEFI New Energy For Industry. https://doi.org/10.5281/zenodo.13985899
•)	Poulios N., Leventides J., Poulios C., Livada M., Melas E.: A Mathematical Study of the Braess‘s Paradox within a Network Comprising Four Nodes, Five Edges and Linear Time Functions. In: Optimization, Discrete Mathematics and Applications to Data Sciences. Springer, 2024, p. 223-232.
•)	Poulios N., Livada M., Melas E.: Demand Aggregation and Mid-Term Energy Planning Problem on the Business Layer. In: Optimization, Discrete Mathematics and Applications to Data Sciences. Springer, 2024, p. 117-134.
•)	Poulios N., Livada M., Melas E.: The Minimum Cost Energy Flow Problem under Demand Uncertainty – Effect on Optimal Solution, Variability, Worst and Best Case Scenarios. , In: Optimization, Discrete Mathematics and Applications to Data Sciences. Springer, 2024, p. 211-221.