Machine Learning-based Energy Demand Forecasting: Practice of Multivariate Time Series and Ensemble Learning Methods

Introduction / Main Post: Machine Learning-based Energy Demand Forecasting: Practice of Multivariate Time Series and Ensemble Learning Methods

Discusses how to use machine learning methods to predict energy consumption demand such as natural gas, focuses on the application of multivariate time series analysis techniques and ensemble learning models in the field of energy forecasting, and analyzes model design ideas, feature engineering methods, and practical deployment considerations.