Work

Monitoring Hydropower Plants with LSTM-Based Time-series Forecasting

Year: 2024

Type: conference-paper

Source: IEEE PES Innovative Smart Grid Technologies Europe

DOI: 10.1109/isgteurope62998.2024.10863069

Authors: Fatemeh Hajimohammadali, Mauro Tucci, Nunzia Fontana, Emanuele Crisostomi

Institution: University of Pisa

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: closed

OpenAlex ID: W4407362252

FWCI: 1.377

Cites: 19

Cited by: 2

Related to: 10