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Automated Few-Shot Time Series Forecasting based on Bi-level Programming
One of the critical challenges of time series renewable energy forecasting is the lack of historical data to train an adequate predictive model.
Multi-Objective Reinforcement Learning based Multi-Microgrid System Optimisation Problem
The proposed model consists of three layers, smart grid layer, independent system operator (ISO) layer and power grid layer.
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