NILM for load and peak load management

By automatically identifying large power consumers and quantifying their load shift potential using smart meter data, energy suppliers should be able to optimise their load management and thus save costs.

Brief information

School:

Engineering and Architecture

Status:

Completed

Period:

01.12.2018 - 01.07.2020

Overview

In NILM4Bal we investigate how smart meter data can be used to automatically identify large power consumers and quantify their load shift potential. In this way, the shiftable consumers already present in households and businesses can be used for load shifting. This will enable energy suppliers to optimise their load management and save costs without having to make additional investments in distribution networks.

Facts

Type of project

Forschung

Internal organisations involved
  • iHomeLab
  • ALT - Technik & Architektur
  • ALT - CC iHomeLab
External project funder
Funding
  • Private / Stiftungen
  • Forschungsfinanzierung allgemein
  • Innosuisse - HSLU als Hauptforschungspartnerin (Main Research Partner)

Persons involved: internal

Project manager
Project Co-Head
Member of project team

Persons involved: external

External member of project team

Publications