Solar Photovoltaic Power Generation Source Data

What is sky images & photovoltaic power generation dataset?

To fill these gaps, we introduce SKIPP’D—a SKy Images and Photovoltaic Power Generation Dataset. The dataset contains three years (2017–2019) of quality-controlled down-sampled sky images and PV power generation data that is ready-to-use for short-term solar forecasting using deep learning.

What are some open-source datasets related to solar energy?

Here are some open-source datasets related to solar energy along with their links: National Renewable Energy Laboratory (NREL) Solar Radiation Data: This dataset includes solar radiation and related climatic data for locations in the United States and its territories.

Where are the PV power generation data from?

The PV power generation data are from PV panel approximately 125 m away from the camera on the roof of the Jen-Hsun Huang Engineering Center at Stanford University, which are logged by Stanford Utility and shared to us.

Can on-site solar and wind generation data be used for forecasting?

Solar and wind generation data from on-site sources are beneficial for the development of data-driven forecasting models. In this paper, an open dataset consisting of data collected from on-site renewable energy stations, including six wind farms and eight solar stations in China, is provided.

Why is solar PV becoming a major source of power generation?

Solar PV is rapidly becoming a significant source of power generation. Fluctuations in solar power generation due to short-term events (like moving clouds) can have large impacts in areas with high solar PV penetration.

What is solar photovoltaic (PV)?

Solar photovoltaic (PV) is an increasingly significant fraction of electricity generation. Efficient management, and innovations such as short-term forecasting and machine vision, demand high-resolution geographic datasets of PV installations.