Prediction of energy consumption for manufacturing small and medium-sized enterprises (SMEs) considering industry characteristics

Intelligent charging and discharging of electric vehicles in a vehicle-to-grid system using a reinforcement learning-based approach

Adaptive inventory replenishment using structured reinforcement learning by exploiting a policy structure

DIP-QL: A Novel Reinforcement Learning Method for Constrained Industrial Systems

INVESTIGATION OF THE EFFECTS OF KOREAN POLICIES TO PROMOTE A GRID-CONNECTED MICROGRID

A sampling-based solution approach for electricity capacity expansion planning with chance constraint

A two-stage hybrid manufacturing model with controllable make-to-order production rates

A learning-based approach for dynamic freight brokerages with transfer and territory-based assignment

Effects of the move towards renewables on the power system reliability and flexibility in South Korea

A DEA approach for evaluating the relationship between energy efficiency and financial performance for energy-intensive firms in Korea