Spatial Load Forecasting Using Power-Law Distribution with Fractal Exponent

What is it about?

This work uses some concepts from fractal geometry, like the power-law distribution with fractal exponent, which is incorporated into the grid-based simulation methods in order to improve the characterization of heterogeneous load density. This heterogeneous load characterization is the main difference and contribution of this work when compared with other similar methods on the specialized literature. The proposal considers a top-down approach for distributing the city's global forecast of electricity consumption, simulating the urban dynamics, as well as improving the recognition of the peripheral regions that may have an increase in load density.

Featured Image

Why is it important?

The main contribution of this method is to simulate the urban dynamics, as well as improve the recognition of the heterogeneous distribution of load on the service zone. An additional contribution of the proposed method is the use of a small database that yields a straightforward implementation. Only the spatial distribution of the network elements and maps of the city's urban area is necessary. The input data can be modified depending on the information available at the distribution company; for example, in a smart grid environment, it would be possible to have less aggregated consumer data.

Perspectives