Comprehensive Energy Consumption Predictive Analytics

Create a Python-based predictive analytics framework for energy consumption forecasting. Develop a multi-model approach that integrates time series analysis, machine learning, and external factor modeling. Include advanced feature engineering incorporating weather data, historical consumption patterns, economic indicators, and seasonal variations. Implement ensemble learning techniques with model uncertainty quantification and interpretable prediction intervals.