Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

FAIRification, Quality Assessment, and Missingness Pattern Discovery for Spatiotemporal Photovoltaic Data

Conference · · Conference Record of the Photovoltaics Specialists Conference
 [1];  [1];  [1];  [1];  [1];  [2];  [3];  [1];  [2];  [1];  [1];  [1]
  1. SDLE Research Center, Case Western Reserve University (CWRU),Cleveland,OH,USA,44106
  2. University of Central Florida (UCF),Orlando,Florida,USA,32816
  3. Florida Solar Energy Center (FSEC),Cocoa,FL,USA,32922
+ Show Author Affiliations

The growth of the photovoltaic market has pushed the demand for power forecasting and performance evaluation for a huge population of PV power plants. Many of these power plants have spatiotemporal coherence that can be utilized for improving model accuracy. We have demonstrated in this paper the FAIRification of spatiotemporal PV time series data. Through the creation of a solar power plant ontology, we propose standards for the naming and structure of metadata used to describe the data from these power plants. Using the structure from this ontology, we have developed both R and Python packages for the automation of the FAIRification process. Going further, we have also developed an R package that automates the analysis of the quality of a data set through the designation of letter grades. To solve the issue of data missingness, we propose the use of St-GNN autoencoders to detect and impute missing values from a data set by utilizing data from power plants nearby.

Research Organization:
Case Western Reserve Univ., Cleveland, OH (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
DOE Contract Number:
EE0009353
OSTI ID:
1959064
Journal Information:
Conference Record of the Photovoltaics Specialists Conference, Vol. 2022; Conference: 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC); ISSN 0742-6666
Publisher:
IEEE
Country of Publication:
United States
Language:
English

References (8)

A Nonrelational Data Warehouse for the Analysis of Field and Laboratory Data From Multiple Heterogeneous Photovoltaic Test Sites journal January 2017
Mind the gap journal January 2020
Linear Interpolation Revitalized journal May 2004
Review: A gentle introduction to imputation of missing values journal October 2006
Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems journal May 2021
WebProtégé: A Cloud-Based Ontology Editor conference May 2019
Toward Findable, Accessible, Interoperable and Reusable (FAIR) Photovoltaic System Time Series Data conference June 2021
The FAIR Guiding Principles for scientific data management and stewardship journal March 2016

Similar Records

Related Subjects

14 SOLAR ENERGY