[ ] Continuously review and analyze the model's performance using MAE as the benchmark to achieve the predefined goal of accurate energy generation prediction
[ ] Implement further optimizations, feature adjustments, or model enhancements to improve the model's accuracy and bring the MAE closer to the specific metric goal
[ ] Iterate on the model by fine-tuning hyperparameters, exploring different algorithms, and considering domain-specific insights to meet or surpass the predefined metric goal