# Synthesis of High-Resolution Load Profiles with Minimal Data

## TL;DR

This paper introduces a method to synthesize high-resolution energy load profiles using minimal data, enabling accurate representation of energy consumption patterns without extensive data collection.

## Contribution

The paper presents a novel approach to generate detailed load profiles from limited initial data, reducing data requirements for energy system modeling.

## Key findings

- Successfully synthesizes high-resolution load profiles from minimal data
- Profiles retain key properties of real energy consumption patterns
- Method reduces data collection costs and effort

## Abstract

For the estimation of a new energy supply system it is an important to have high-resolution energy load profile. Such a profile is in general either not present or very costly to obtain. We will therefore present a method which synthesizes load profiles from minimal given data, but with maximal resolution. The general initial data setting includes month integrals and load profiles a few days. The resulting time series features all important properties to represent a real energy profile.