Tu-SAN-01 - Sensor Placement in Energy Systems Based on Residual Uncertainty

Event

EUROSENSORS 2026
2026-09-06 - 2026-09-09
Zurich

Band

Poster

Chapter

Sensor Arrays And Networks, Integrated Systems

Author(s)

P. Kersten, S. Hirsch - University of Applied Sciences Brandenburg,Brandenburg an der Havel (Germany)

Pages

652 - 653

DOI

10.5162/eurosensors2026/Tu-SAN-01

ISBN

978-3-910600-12-6

Price

free

Abstract

This work investigates the measurement requirements in energy systems from an information-centric viewpoint. The framework models an energy system as a hierarchy of aggregated nodes, represented as the sum of known and unknown load components. The mismatch between measured node power and the estimated system state defines a residual that represents the remaining information uncertainty and serves as the basis of a greedy sensor selection process. The sensor placement task is formulated as an optimization problem, where sensors are selected to minimize the residual-based uncertainty.