Beomjin Choi

Artificial intelligence-based prediction of hydrogen adsorption in various kerogen types: Implications for underground hydrogen storage and cleaner production

An advanced framework for net electricity consumption prediction: Incorporating novel machine learning models and optimization algorithms

Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network