[HTML][HTML] Advances in solar forecasting: Computer vision with deep learning
Renewable energy forecasting is crucial for integrating variable energy sources into the grid.
It allows power systems to address the intermittency of the energy supply at different …
It allows power systems to address the intermittency of the energy supply at different …
Open-source ground-based sky image datasets for very short-term solar forecasting, cloud analysis and modeling: A comprehensive survey
Sky-image-based solar forecasting using deep learning has been recognized as a
promising approach in reducing the uncertainty in solar power generation. However, one of …
promising approach in reducing the uncertainty in solar power generation. However, one of …
[HTML][HTML] Improving cross-site generalisability of vision-based solar forecasting models with physics-informed transfer learning
Forecasting solar energy from cloud cover observations is crucial to truly anticipate future
changes in power supply. On an intra-hour timescale, ground-level sky cameras located …
changes in power supply. On an intra-hour timescale, ground-level sky cameras located …
Bionic fusion perspective: Audiovisual-motivated integration network for solar irradiance prediction
Accurate and reliable prediction of solar irradiance (SI) is an important requirement to
develop solar energy while a challenging task due to stochastic and nonlinear data …
develop solar energy while a challenging task due to stochastic and nonlinear data …
Lightweight Infrared and Visible Image Fusion Technique: Guided Gradient Optimization Driven
Y Song, R Wang, Z Li, S Garg… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Infrared and visible image fusion technology aims to combine data from several spectral
bands in order to increase target identification, processing capabilities, and image quality …
bands in order to increase target identification, processing capabilities, and image quality …
Global-Local Feature Learning Via Dynamic Spatial-Temporal Graph Neural Network in Meteorological Prediction
The meteorological environment has a profound impact on global health (eg, air quality),
science and technology (eg, rocket launches), and economic development (eg, poverty …
science and technology (eg, rocket launches), and economic development (eg, poverty …
Intra-Hour Solar Irradiance Estimation Using Infrared Sky Images and MobileNetV2-Based CNN Regression
In recent years, the rapid growth in both the development and use of solar energy has
spurred intensive research in solar power estimation and forecasting in energy system …
spurred intensive research in solar power estimation and forecasting in energy system …
Short-Term Solar Forecasting from All-Sky Images Using Deep Learning
Y Nie - 2023 - search.proquest.com
Integration of renewable resources, such as solar photovoltaics (PV), has been recognized
as a crucial component in transition to a decarbonized energy system. However, the …
as a crucial component in transition to a decarbonized energy system. However, the …
[HTML][HTML] Processing of global solar irradiance and ground-based infrared sky images for solar nowcasting and intra-hour forecasting applications
G Terrén-Serrano, M Martínez-Ramón - Solar Energy, 2023 - Elsevier
Shadows from moving clouds in the troposphere impact the energy generated by
photovoltaic systems. intra-hour solar forecast can be used to regulate solar energy …
photovoltaic systems. intra-hour solar forecast can be used to regulate solar energy …
AFIRE: Adaptive FusionNet for Illumination-Robust Feature Extraction in Heterogeneous Imaging Environments
M Yu, X Miao, Y Sun, Y Bai - 2024 - researchsquare.com
The fusion of infrared and visible images aims to synthesize a fused image that incorporates
richer information by leveraging the distinct characteristics of each modality. However, the …
richer information by leveraging the distinct characteristics of each modality. However, the …