| Design optimization of a hybrid solar-biomass plant to sustainably supply energy to industry: Methodology and case study FB Tilahun, R Bhandari, M Mamo Energy 220, 119736, 2021 | 37 | 2021 |
| Design optimization and control approach for a solar-augmented industrial heating FB Tilahun, R Bhandari, M Mamo Energy 179, 186-198, 2019 | 22 | 2019 |
| Supply optimization based on society’s cost of electricity and a calibrated demand model for future renewable energy transition in Niger FB Tilahun, R Bhandari, M Mamo Energy, Sustainability and Society 9, 1-17, 2019 | 14 | 2019 |
| Machine learning interfaces for modular modelling and operation-based design optimization of solar thermal systems in process industry FB Tilahun Engineering Applications of Artificial Intelligence 127, 107285, 2024 | 6 | 2024 |
| Fuzzy-based predictive deep reinforcement learning for robust and constrained optimal control of industrial solar thermal plants FB Tilahun Applied Soft Computing 159, 111432, 2024 | 3 | 2024 |
| Optimal solar field and thermal storage sizing in hybrid solar biomass cogeneration plant FB Tilahun, M Mamo, R Bhandari 2020 IEEE PES/IAS PowerAfrica, 1-5, 2020 | 3 | 2020 |
| Economically Realizable Solar Process Heat Solutions in Ethiopian Textile Industry with Demand Derived from Artificial Neural Network Data FB Tilahun, R Bhandari, M Mamo WSEAS TRANSACTIONS ON POWER SYSTEMS 12, 210-219, 2017 | 1 | 2017 |
| Industrial Process Steam-Consumption Prediction through an Artificial Neural Networks (ANNS) Approach FB Tilahun, R Bhandari, M Mamo WSEAS TRANSACTIONS ON POWER SYSTEMS 12, 238-247, 2017 | | 2017 |
| Fuzzy-Based Safe Deep Reinforcement Learning for Robust and Constrained Optimal Control of Industrial Solar Thermal Plants FB Tilahun Available at SSRN 4608167, 0 | | |
