[HTML][HTML] Omnivision forecasting: Combining satellite and sky images for improved deterministic and probabilistic intra-hour solar energy predictions
Integrating large proportions of intermittent renewable energy sources into electric grids is
challenging. A well-established approach aimed at addressing this difficulty involves the …
challenging. A well-established approach aimed at addressing this difficulty involves the …
A Review of Solar Forecasting Techniques and the Role of Artificial Intelligence
Solar energy forecasting is essential for the effective integration of solar power into electricity
grids and the optimal management of renewable energy resources. Distinguishing itself from …
grids and the optimal management of renewable energy resources. Distinguishing itself from …
SKIPP'D: A SKy Images and Photovoltaic Power Generation Dataset for short-term solar forecasting
Large-scale integration of photovoltaics (PV) into electricity grids is challenged by the
intermittent nature of solar power. Sky-image-based solar forecasting using deep learning …
intermittent nature of solar power. Sky-image-based solar forecasting using deep learning …
Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning?
Solar forecasting from ground-based sky images has shown great promise in reducing the
uncertainty in solar power generation. With more and more sky image datasets open …
uncertainty in solar power generation. With more and more sky image datasets open …
Short-Term Photovoltaic Power Plant Output Forecasting Using Sky Images and Deep Learning
With the steady increase in the use of renewable energy sources in the energy sector, new
challenges arise, especially the unpredictability of these energy sources. This uncertainty …
challenges arise, especially the unpredictability of these energy sources. This uncertainty …
Neural Network-Based Solar Irradiance Forecast for Edge Computing Devices
G Venitourakis, C Vasilakis, A Tsagkaropoulos… - Information, 2023 - mdpi.com
Aiming at effectively improving photovoltaic (PV) park operation and the stability of the
electricity grid, the current paper addresses the design and development of a novel system …
electricity grid, the current paper addresses the design and development of a novel system …
SkyGPT: Probabilistic Short-term Solar Forecasting Using Synthetic Sky Videos from Physics-constrained VideoGPT
In recent years, deep learning-based solar forecasting using all-sky images has emerged as
a promising approach for alleviating uncertainty in PV power generation. However, the …
a promising approach for alleviating uncertainty in PV power generation. However, the …
Deep learning-based hybrid short-term solar forecast using sky images and meteorological data
L Zhang - 2023 - eprints.nottingham.ac.uk
The global growth of solar power generation is rapid, yet the complex nature of cloud
movement introduces significant uncertainty to short-term solar irradiance, posing …
movement introduces significant uncertainty to short-term solar irradiance, posing …
Location-specific optimization of photovoltaic forecasting models using fine-tuning techniques
The global energy landscape is increasingly shaped by renewable energy sources,
particularly photovoltaic systems, which are influenced by economic, environmental and …
particularly photovoltaic systems, which are influenced by economic, environmental and …
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 …