Skip to main content

Justify: trending method for large area forecast

Short answer

Large area loads grow smoothly as random small-area variations average out, allowing curve fitting on long historical records. Only total magnitude is needed for generation/transmission planning, so the trending method is quick, cheap and sufficient.

Justify the following statement in brief: The trending method of the load forecast is more suitable for large area load forecast.

The statement is correct.

The trending method fits a curve (linear, exponential or polynomial) to past load data and extends it into the future. It suits large areas (a whole utility, region or country) because:

  • The load of a large area is the sum of many small areas at different stages of growth. Their random, step-like changes average out, so the total grows smoothly and steadily, which a simple curve can follow.
  • Large areas have long, reliable load records (years of peak demand and energy sales) to fit the curve.
  • Only the total amount of load is needed for generation and transmission planning, not its exact location.
  • It is quick, cheap and needs no detailed land-use or end-use data.

For small areas, load stays near zero and then jumps (S-curve), and history is short, so trending gives poor results there; simulation (land-use) methods are used instead.

✓ Answer checked by Claude Opus 5.5 (high effort)

Related questions

All Transmission and Distribution System Design chapter 6 questions →