z-logo
open-access-imgOpen Access
Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems
Author(s) -
Ahmad Maroof Karimi,
Yinghui Wu,
Mehmet Koyutürk,
Roger H. French
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i17.17799
Subject(s) - photovoltaic system , computer science , leverage (statistics) , electric power system , grid connected photovoltaic power system , grid , software deployment , artificial neural network , power (physics) , maximum power point tracking , real time computing , artificial intelligence , engineering , mathematics , physics , geometry , quantum mechanics , inverter , electrical engineering , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom