Question 1: How do you handle demand forecasting for energy components with highly variable usage patterns, such as renewable energy systems?
Which action should you take?
Question 2: What is the primary advantage of using machine learning algorithms for demand forecasting in energy supply chains, compared to traditional statistical methods?
Which action should you take?
Question 3: Which external factor is the most significant when forecasting electricity demand for smart grids in urban areas?
Which action should you take?
Question 4: In demand forecasting for energy storage systems, what is the critical factor that should be included in the forecast model to account for demand spikes?
Which action should you take?
Question 5: What strategies do you use to monitor and control inventory costs when working with multiple suppliers in the energy sector?
Which action should you take?
Question 6: When conducting a multi-stage demand forecasting process, which of the following factors is most likely to introduce the highest variability in predictions?
Which action should you take?