Forecasting

Best practices to incorporate uncertainty in financial planning and budgeting process

Learn Python, Time Series Model Additive, Multiplicative, AR, Moving Average, Exponential, ARIMA models

Discover a new, demand-centric framework for forecasting and demand planning

Accurate forecasting performance in the energy sector is a primary factor in the modern restructured power market, accomplished by any novel advanced hybrid techniques. Particularly in the Big Data era, forecasting models are always based on a complex function combination, and energy data are always complicated by factors such as seasonality, cyclicity, fluctuation, dynamic nonlinearity, and so on.