Jiaoda Blue Sky Solar Photovoltaic Power Generation

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 is a curated sky image & PV generation dataset?

A curated sky image and PV generation dataset is released for short-term solar forecasting. Processed benchmark data and raw data are both provided for flexibility of research. Reference codes for data processing and baseline model implementations are provided. Baseline deep learning models are developed to demonstrate the uses of the dataset.

What is remote sensing derived dataset for large-scale photovoltaic power stations in China?

We provide a remote sensing derived dataset for large-scale ground-mounted photovoltaic (PV) power stations in China of 2020, which has high spatial resolution of 10 meters. The dataset is based on the Google Earth Engine (GEE) cloud computing platform via random forest classifier and active learning strategy.

Why is solar PV power generation nowcasting important?

Thus, sophisticated solar PV power generation nowcasting technique not only can improve the stability of power generation, but also facilitates the developments of more commercially viable PV systems, the current electricity market and price transactions, and increases the competitiveness of the solar PV energy source 15, 16.

Should Xinjiang and Inner Mongolia focus on centralized PV power plants?

Specifically, for Xinjiang, Inner Mongolia, Qinghai, Gansu, and Tibet with huge PV power potential and sparse populations, it is most appropriate to prioritize the construction of large-scale centralized PV power plants to fully exploit the solar energy of the region, while the southeastern provinces should focus on developing distributed PV.

Does a high-resolution global assessment of rooftop solar photovoltaics potential exist?

Yet, only limited information is available on its global potential and associated costs at a high spatiotemporal resolution. Here, we present a high-resolution global assessment of rooftop solar photovoltaics potential using big data, machine learning and geospatial analysis.