Deep Learning Neural Networks for Short-Term PV Power Forecasting via Sky Image Method

Hybrid approaches based on deep whole-sky-image learning to photovoltaic generation forecasting

(2020) Weicong Kong et al.   APPLIED ENERGY

Deep Learning Based Multistep Solar Forecasting for PV Ramp-Rate Control Using Sky Images

(2020) Haoran Wen et al.   IEEE Transactions on Industrial Informatics

3D-CNN-based feature extraction of ground-based cloud images for direct normal irradiance prediction

(2019) Xin Zhao et al.   SOLAR ENERGY

Detecting clear sky images

(2019) Prathamesh Pawar et al.   SOLAR ENERGY

An experimental method to merge far-field images from multiple longwave infrared sensors for short-term solar forecasting

(2019) Andrea Mammoli et al.   SOLAR ENERGY

Short-Term Spatio-Temporal Forecasting of Photovoltaic Power Production

(2018) Xwegnon Ghislain Agoua et al.   IEEE Transactions on Sustainable Energy

Deep photovoltaic nowcasting

(2018) Jinsong Zhang et al.   SOLAR ENERGY

Sky image-based solar irradiance prediction methodologies using artificial neural networks

(2018) Jane Oktavia Kamadinata et al.   RENEWABLE ENERGY

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

A review of key power system stability challenges for large-scale PV integration

(2015) Rakibuzzaman Shah et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Day-Ahead Power Output Forecasting for Small-Scale Solar Photovoltaic Electricity Generators

(2015) Yue Zhang et al.   IEEE Transactions on Smart Grid

Cloud-tracking methodology for intra-hour DNI forecasting

(2014) S. Quesada-Ruiz et al.   SOLAR ENERGY