Forecasting Complexity
Erin discusses the intricate challenges of combining actuals and forecasts in data modeling, highlighting the necessity of different APIs for weather data. She emphasizes the concept of layering, which allows users to seamlessly integrate forecasts with actuals, making the modeling process more intuitive. Additionally, she touches on the use of Bayesian optimization for enhancing model performance and feature selection.In this clip
From this podcast

Data Skeptic
Energy Forecasting Pipelines
Related Questions