Photovoltaic Cell Anomaly Detection Enabled by Scale Distribution Alignment Learning and Multiscale Linear Attention Framework-Reference-Cited by-同舟云学术

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Photovoltaic Cell Anomaly Detection Enabled by Scale Distribution Alignment Learning and Multiscale Linear Attention Framework

Published:2024-08-15 Issue:16 Volume:11 Page:27816-27827
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Chang Zhonghao¹^ORCID,Zhang An-Jun¹^ORCID,Wang Huan²^ORCID,Xu Jiajia³,Han Te¹^ORCID

Affiliation:

1. Center for Energy and Environmental Policy Research and the School of Management, Beijing Institute of Technology, Beijing, China

2. Department of Industrial Engineering, Tsinghua University, Beijing, China

3. Industrial Product Solutions Core Development Department, Ling Yang Industrial Internet Company Ltd., Anhui, China

Funder

National Natural Science Foundation of China

Young Elite Scientists Sponsorship Program by CAST

Anhui Provincial Science and Technology Major Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6488907/10623554/10557599.pdf?arnumber=10557599

Reference50 articles.

1. An IoT-Based Hedge System for Solar Power Generation

2. Optimal Deployment of Solar Insecticidal Lamps Over Constrained Locations in Mixed-Crop Farmlands

3. Solar Power Generation Forecasting With a LASSO-Based Approach

4. Edge Intelligence for Smart EL Images Defects Detection of PV Plants in the IoT-Based Inspection System

5. Electromagnetic Method for Detecting Black Piece on Monocrystalline Silicon Photovoltaic Panels

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