| Generative model-based hybrid forecasting model for renewable electricity supply using long short-term memory networks: A case study of South Korea's energy transition policy Y Lee, B Ha, S Hwangbo Renewable Energy 200, 69-87, 2022 | 22 | 2022 |
| Towards mega-scale decarbonized industrial park (Mega-DIP): Generative AI-driven techno-economic and environmental assessment of renewable and sustainable energy utilization in … SK Heo, J Byun, P Ifaei, J Ko, B Ha, S Hwangbo, CK Yoo Renewable and Sustainable Energy Reviews 189, 113933, 2024 | 14 | 2024 |
| Online machine learning approach for system marginal price forecasting using multiple economic indicators: A novel model for real-time decision making T Kim, B Ha, S Hwangbo Machine Learning with Applications 14, 100505, 2023 | 8 | 2023 |
| Stochastic techno-economic assessment of future renewable energy networks based on integrated deep-learning framework: A case study of South Korea B Ha, S Nam, J Byun, J Han, S Hwangbo Chemical Engineering Journal 485, 150050, 2024 | 2 | 2024 |
| Techno-economic assessment of sustainable energy planning on renewable electricity demand-supply networks: A deep learning approach B Ha, T Kim, JH Ahn, S Hwangbo Computer Aided Chemical Engineering 52, 3411-3416, 2023 | | 2023 |
| Stochastic Techno-Economic Assessment Based on Integrated Deep-Learning Framework: A Case Study of South Korea B Ha, S Nam, J Byun, S Hwangbo Available at SSRN 4653623, 0 | | |
