| 1 |
Gasoline Blend Planning under Demand Uncertainty: Aggregate Supply-Demand Pinch Algorithm with Rolling Horizon
Jalanko M, Mahalec V
Industrial & Engineering Chemistry Research, 59(1), 281, 2020 |
| 2 |
Modeling the Hydrocracking Process with Deep Neural Networks
Song WJ, Mahalec V, Long J, Yang ML, Qian F
Industrial & Engineering Chemistry Research, 59(7), 3077, 2020 |
| 3 |
Hinging Hyperplanes Crude Oil Mixing Model for Production Planning Optimization
Li FP, Qian F, Fan C, Mahalec V
Industrial & Engineering Chemistry Research, 59(18), 8704, 2020 |
| 4 |
A Dynamic Game Theoretic Framework for Process Plant Competitive Upgrade and Production Planning
Tominac P, Mahalec V
AIChE Journal, 64(3), 916, 2018 |
| 5 |
Novel performance curves to determine optimal operation of CCHP systems
Afzali SF, Mahalec V
Applied Energy, 226, 1009, 2018 |
| 6 |
Supply-demand pinch based methodology for multi-period planning under uncertainty in components qualities with application to gasoline blend planning
Jalanko M, Mahalec V
Computers & Chemical Engineering, 119, 425, 2018 |
| 7 |
A game theoretic framework for petroleum refinery strategic production planning
Tominac P, Mahalec V
AIChE Journal, 63(7), 2751, 2017 |
| 8 |
Globally optimal dynamic real time optimization without model mismatch between optimization and control layer
Wang XQ, Mahalec V, Qian F
Computers & Chemical Engineering, 104, 64, 2017 |
| 9 |
Planning and scheduling of steel plates production. Part II: Scheduling of continuous casting
Mori J, Mahalec V
Computers & Chemical Engineering, 101, 312, 2017 |
| 10 |
Optimal design, operation and analytical criteria for determining optimal operating modes of a CCHP with fired HRSG, boiler, electric chiller and absorption chiller
Afzali SF, Mahalec V
Energy, 139, 1052, 2017 |
