A Benchmark for ML-based Solar Power Generation Forecasting Models-Reference-Cited by-同舟云学术

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A Benchmark for ML-based Solar Power Generation Forecasting Models

Published:2024-06-11 Issue: Volume:4 Page:1-4
ISSN:
Container-title:2024 13th Mediterranean Conference on Embedded Computing (MECO)
language:
Short-container-title:

Author:

Ozdemir Gokcen¹,Ozdemir Umut²,Kuzlu Murat¹,Catak Ferhat Ozgur³

Affiliation:

1. Old Dominion University,Electrical Engineering Technology,Norfolk,VA,USA

2. Erciyes University,Halil Bayraktar Vocational School of Health Services,Kayseri,Turkiye

3. University of Stavanger,Department of Electrical Engineering and Computer Science,Rogaland,Norway

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10577658/10577767/10577910.pdf?arnumber=10577910

Reference11 articles.

1. Photovoltaic and solar power forecasting for smart grid energy management

2. A review and taxonomy of wind and solar energy forecasting methods based on deep learning;Alkhayat,2021

3. Artificial intelligence techniques for enabling Big Data services in distribution networks: A review

4. A Generalized Framework for Brain Tumor and Pneumonia Detection Using Streamlite Application

5. Streamlit-Powered Comprehensive Health Analysis and Disease Prediction System

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