Assessment of solar radiation resource and photovoltaic power potential across China based on optimized interpretable machine learning model and GIS-based …
In light of the rapidly expanding solar photovoltaic (PV) sector, it is important to provide a
deeper understanding of solar energy resources to successfully implement solar energy …
deeper understanding of solar energy resources to successfully implement solar energy …
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 …
A novel forecasting model for solar power generation by a deep learning framework with data preprocessing and postprocessing
Photovoltaic power has become one of the most popular forms of energy owing to the
growing consideration of environmental factors; however, solar power generation has …
growing consideration of environmental factors; however, solar power generation has …
[HTML][HTML] Wind power plants hybridised with solar power: A generation forecast perspective
A Couto, A Estanqueiro - Journal of Cleaner Production, 2023 - Elsevier
The association of different variable renewable technologies in hybrid power plants and the
benefits of their aggregation for the operation of power systems is an area of recent …
benefits of their aggregation for the operation of power systems is an area of recent …
Improvement of satellite-derived surface solar irradiance estimations using spatio-temporal extrapolation with statistical learning
Estimations of solar surface irradiance (SSI) derived from meteorological satellites are
widely used by various actors in the solar industry. However, even state-of-the-art empirical …
widely used by various actors in the solar industry. However, even state-of-the-art empirical …
A Short-term solar irradiance forecasting modelling approach based on three decomposition algorithms and Adaptive Neuro-Fuzzy Inference System
In this study, a case study of four Indian cities ie Ajmer, Jaipur, Jodhpur and Kota in the state
of Rajasthan are considered wherein 30 min ahead data have been obtained via the data …
of Rajasthan are considered wherein 30 min ahead data have been obtained via the data …
A combination of supervised dimensionality reduction and learning methods to forecast solar radiation
Abstract Machine learning is routinely used to forecast solar radiation from inputs, which are
forecasts of meteorological variables provided by numerical weather prediction (NWP) …
forecasts of meteorological variables provided by numerical weather prediction (NWP) …
Benchmark dataset for precipitation forecasting by post-processing the numerical weather prediction
Precipitation forecasting is an important scientific challenge that has wide-reaching impacts
on society. Historically, this challenge has been tackled using numerical weather prediction …
on society. Historically, this challenge has been tackled using numerical weather prediction …
[HTML][HTML] The added value of combining solar irradiance data and forecasts: A probabilistic benchmarking exercise
Despite the growing awareness in academia and industry of the importance of solar
probabilistic forecasting for further enhancing the integration of variable photovoltaic power …
probabilistic forecasting for further enhancing the integration of variable photovoltaic power …
[HTML][HTML] Operational risk assessment on power system based on weather regionalization considering power ramp of renewable energy generation
With the ever-increased installed capacity of renewable energy generation (REG) units, the
power ramp of REG has become a common event, introducing an operational risk to the …
power ramp of REG has become a common event, introducing an operational risk to the …