Risks
The team has successfully progressed for each component of the project. However, the ongoing development and integration of the side panel and ML forecasting model could introduce complexity. Additionally, the challenge of overfitting in the load data forecasting model indicates a risk in the accuracy and reliability of ML predictions.
System Changes
Significant system changes include the initialization of an AWS EC2 Ubuntu instance, marking a pivotal shift to a more robust and scalable deployment environment. On the ML front, the refactoring and modularization of the forecasting codebase represent substantial improvements, enabling more efficient code management and model training processes.
Schedule Changes
Currently, everything aligns with the project timeline. Our team plans to begin component integration next week and try our best to meet our deadlines.