Self-Learning Mechanism for Prediction of Energy Consumption and Generation

This paper relates to a technique for predicting energy usage and power generation through self-enhancement learning using a big data platform. The energy management system should predict the future energy use and generation amount for the optimal operation of ESS based on the measured energy amount, renewable energy production amount and energy usage, and establish the operation plan. For this, ESS charge / discharge scheduling is established through an optimal control engine, and the service is managed and supervised by the administrator.