Which of the following is NOT typically part of load forecasting?

Load forecasting is a critical process in electric utility planning, aimed at predicting the future electric power demand based on various influencing factors. The process typically involves analyzing historical data and various external factors that affect energy consumption.

Peak demand prediction plays a significant role as it helps utilities prepare for times of maximum consumption, ensuring they can meet customer needs effectively. Historical usage analysis also contributes by establishing trends and patterns in electricity consumption over time, which is vital for making informed forecasts. Weather pattern analysis is incorporated as well, as temperature, humidity, and other weather factors have a direct relationship with electricity usage, impacting demand significantly especially for heating and cooling.

In contrast, generator performance metrics focus on the capability and reliability of power generation resources rather than on consumer demand itself. These metrics assess how well generators operate, their efficiency, and their availability, but they do not directly influence the demand side of load forecasting. Thus, generator performance metrics do not provide relevant information for predicting how much power consumers will require, making it an outlier in the context of load forecasting processes.