In what months did the forecast demand remain lower than actual demand?

The correct answer indicates the months when actual demand exceeded the forecasted demand. This situation often arises due to unforeseen circumstances or increased consumer activity not reflected in previous forecasts.

Option B, covering the months from October to February, suggests a period characterized by seasonal demand fluctuations. Specifically, this timeframe includes major holidays and events that can drive up demand beyond typical forecasting models. For instance, the winter months and holidays such as Thanksgiving and Christmas often see increased usage of utilities, as consumers tend to rely on heating and lights more heavily during these periods.

By contrast, other options like April to June, January to March, and September to November do not capture as effectively this seasonal spike in utility demand associated with colder months. Thus, they may not represent times when actual demand outstripped forecasts to the same extent as what occurs between October and February. This analysis helps in understanding typical patterns in consumer behavior and seasonal trends in utility usage, which are critical for accurate demand forecasting and resource planning in the utility sector.