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

Generating Synthetic Time Series PV Data with Real-World Physical Challenges and Noise for Use in Algorithm Test and Validation

Dataset ·
DOI:https://doi.org/10.21948/1999772· OSTI ID:1999772
 [1];  [2];  [3]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States); National Renewable Energy Laboratory
  2. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  3. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)

The publication describes the generation of the synthetic PV time series data set for real locations in the US, including satellite irradiance, rainfall, and a number of physical challenges introduced within the data.

Research Organization:
EMN-DURMAT (EMN-DuraMAT); National Renewable Energy Laboratory (NREL), Golden, CO (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
DOE Contract Number:
AC36-08GO28308
OSTI ID:
1999772
Availability:
Public
Country of Publication:
United States
Language:
English

Similar Records

Generating Synthetic Time Series Photovoltaic Data with Real-World Physical Challenges and Noise for Use in Algorithm Test and Validation
Technical Report · Fri Sep 01 00:00:00 EDT 2023 · OSTI ID:1999775

Automated Shift Detection in Sensor-Based PV Power and Irradiance Time Series
Conference · Thu Aug 18 00:00:00 EDT 2022 · OSTI ID:1883388

Real-time series resistance monitoring in photovoltaic systems
Patent · Tue Apr 14 00:00:00 EDT 2020 · OSTI ID:1650781