Work

ANOMALY DETECTION in photovoltaic fleet data via INTERPRETABLE MACHINE LEARNING

Year: 2025

Type: conference-paper

Abstract: GOAL: use neighboring systems to detect partial outages

DOI: 10.2172/2530412

Author: Bennet Meyers

Institution: SLAC National Accelerator Laboratory

Language: English

Topic: Fault Detection and Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W4408430656

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