Abdul Aziz G. Mabaning

Load anomaly detection in power systems using modified CUSUM with future load profile nomination (FLPN) under hourly and sub-hourly resolution

This paper investigates the use of Future Load Profile Nominations (FLPNs) as a forward-declared behavioral reference for load anomaly detection in power systems using a CUSUM-based framework. Although high-resolution monitoring improves observability, it also amplifies load vari...