PV Data Acquisition Resources and Publications

The PVDAQ project develops publications, webinars, videos, and other resources about low-impact solar development. This page contains publications and resources that have cited the PVDAQ project.

PVDAQ Publications

Photovoltaic Data Acquisition (PVDAQ) Public Datasets

The present data repository. If you cite this dataset, pleas use the following citation:

RIS Format:

NREL. (2021). Photovoltaic Data Acquisition (PVDAQ) Public Datasets [data set]. Retrieved from https://dx.doi.org/10.25984/1846021.

MLA Format:

Deline, Chris, Perry, Kirsten, Deceglie, Michael, Muller, Matthew, Sekulic, William, and Jordan, Dirk. Photovoltaic Data Acquisition (PVDAQ) Public Datasets. United States: N.p., 21 Dec, 2021. Web. doi: 10.25984/1846021.

The Effect of Inverter Loading Ratio on Energy Estimate Bias

IEEE Photovoltaic Specialists Conference (2022)

The impact of high DC-AC ratio clipping is assessed at different temporal resolutions of PV system data. Low-frequency data and models can under-estimate the amount of lost energy due to clipping.

Spatial and temporal variation in the value of solar power across United States electricity markets

Renewable and Sustainable Energy Reviews (2020)

A PV power production model (validated against PVDAQ hourly data) helps identify the relative value of utility-scale PV across the US.

Model and Validation of Single-Axis Tracking With Bifacial PV

IEEE Journal of Photovoltaics (2019)

Bifacial systems from the PVDAQ database help validate models of bifacial energy gain for tracked bifacial systems.

Reducing Interanalyst Variability in Photovoltaic Degradation Rate Assessments

IEEE Journal of Photovoltaics (2019)

Multiple analysts using the same dataset (from PVDAQ) compare degradation values, either using their custom analysis method or with the use of RdTools

Real-time monitoring and diagnosis of photovoltaic system degradation only using maximum power point—the Suns-Vmp method

Progress in Photovoltaics. (2018)

Using fielded PV data from systems held only at MPP, some details of the underlying health of the system and single-diode parameters can be extracted looking at variation of Imax and Vmax vs POA irradiance.

Field Performance versus Standard Test Condition Efficiency of Tandem Solar Cells and the Singular Case of Perovskites/Silicon Devices

J. Phys. Chem. Lett. (2018)

Multi-junction cell energy gain is assessed based in part on NREL PVDAQ field data

A novel snow conditions-compatible computational intelligence-based PV power forecasting approach for microgrids in snow prone regions

IET Smart Grid. (2023)

Computational intelligence based PEVs aggregator scheduling with support for photovoltaic power penetrated distribution grid under snow conditions

Electric Power Systems Research (2023)

An Attention-Based Cycle-Consistent Generative Adversarial Network for IoT Data Generation and Its Application in Smart Energy Systems

IEEE Transactions on Industrial Informatics (2023)

A Nonrelational Data Warehouse for the Analysis of Field and Laboratory Data From Multiple Heterogeneous Photovoltaic Test Sites

IEEE Journal of PV (2017)

PVDAQ/Resources

PV Data Acquisition Resources and Publications

PVDAQ Publications

Photovoltaic Data Acquisition (PVDAQ) Public Datasets

The Effect of Inverter Loading Ratio on Energy Estimate Bias

Spatial and temporal variation in the value of solar power across United States electricity markets

Model and Validation of Single-Axis Tracking With Bifacial PV

Reducing Interanalyst Variability in Photovoltaic Degradation Rate Assessments

Real-time monitoring and diagnosis of photovoltaic system degradation only using maximum power point—the Suns-Vmp method

Field Performance versus Standard Test Condition Efficiency of Tandem Solar Cells and the Singular Case of Perovskites/Silicon Devices

DynaES: Dynamic Energy Scheduling for Energy Harvesting Environmental Sensors

Solar PV Power Forecasting and Ageing Evaluation Using Machine Learning Techniques

Electricity peak shaving for commercial buildings using machine learning and vehicle to building (V2B) system

A novel snow conditions-compatible computational intelligence-based PV power forecasting approach for microgrids in snow prone regions

Computational intelligence based PEVs aggregator scheduling with support for photovoltaic power penetrated distribution grid under snow conditions

An Attention-Based Cycle-Consistent Generative Adversarial Network for IoT Data Generation and Its Application in Smart Energy Systems

Effect of Climate on Photovoltaic Yield Prediction Using Machine Learning Models

Mixed Deep Reinforcement Learning Considering Discrete-continuous Hybrid Action Space for Smart Home Energy Management

A framework for the performance evaluation of household rooftop solar battery systems

Systematic photovoltaic system power losses calculation and modeling using computational intelligence techniques

The use of LiDAR versus unmanned aerial systems (UAS) to assess rooftop solar energy potential

A Long Term PV Power Degradation Prediction due to Dust Fouling and Environmental Stresses

Online Monitoring System for Photovoltaic Systems Using Anomaly Detection with Machine Learning

Day-Ahead Forecasting of Hourly Photovoltaic Power Based on Robust Multilayer Perception

Quantification of Environmental Effects on PV Module Degradation: A Physics-Based Data-Driven Modeling Method

Real-time Monitoring of Photo Voltaic Reliability Only Using Maximum Power Point - the Suns-Vmp Method

A Nonrelational Data Warehouse for the Analysis of Field and Laboratory Data From Multiple Heterogeneous Photovoltaic Test Sites

Performance Analysis of a Grid-Connected Upgraded Metallurgical Grade Silicon Photovoltaic System

Improvement in artificial neural network-based estimation of grid connected photovoltaic power output

Methods for Analysis of Outdoor Performance Data (Presentation)