History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining
Text mining is an emerging topic that advances the review of academic literature. This paper
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …
[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 …
Solar irradiance resource and forecasting: a comprehensive review
With the increase in demand for energy, penetration of alternative sources of energy in the
power grid has increased. Photovoltaic (PV) energy is the most common and popular form of …
power grid has increased. Photovoltaic (PV) energy is the most common and popular form of …
A guideline to solar forecasting research practice: Reproducible, operational, probabilistic or physically-based, ensemble, and skill (ROPES)
D Yang - Journal of Renewable and Sustainable Energy, 2019 - pubs.aip.org
Over the past decade, significant progress in solar forecasting has been made.
Nevertheless, there are concerns about duplication, long-term value, and reproducibility; this …
Nevertheless, there are concerns about duplication, long-term value, and reproducibility; this …
Benchmarking of solar irradiance nowcast performance derived from all-sky imagers
Fluctuations of the incoming solar irradiance impact the power generation from photovoltaic
and concentrating solar thermal power plants. Accurate solar nowcasting becomes …
and concentrating solar thermal power plants. Accurate solar nowcasting becomes …
[HTML][HTML] Intraday probabilistic forecasts of surface solar radiation with cloud scale-dependent autoregressive advection
Solar energy supply is usually highly volatile, limiting its integration into the power grid.
Accurate probabilistic intraday forecasts of solar resources are essential to increase the …
Accurate probabilistic intraday forecasts of solar resources are essential to increase the …
Mitigating the impact of photovoltaic power ramps on intraday economic dispatch using reinforcement forecasting
L Cheng, H Zang, A Trivedi… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The rapid growth of large-scale photovoltaic (PV) power generation has received
considerable attention, where a major challenge is that PV power ramp events can …
considerable attention, where a major challenge is that PV power ramp events can …
Applications for solar irradiance nowcasting in the control of microgrids: A review
The integration of solar photovoltaic (PV) into electricity networks introduces technical
challenges due to varying PV output. Rapid ramp events due to cloud movements are of …
challenges due to varying PV output. Rapid ramp events due to cloud movements are of …
Can we justify producing univariate machine-learning forecasts with satellite-derived solar irradiance?
Ground-based radiometry is the most reliable method for obtaining data for solar energy
applications. However, due to potential calibration and data quality-control issues, as well as …
applications. However, due to potential calibration and data quality-control issues, as well as …
Validation of an all‐sky imager–based nowcasting system for industrial PV plants
Because of the cloud‐induced variability of the solar resource, the growing contributions of
photovoltaic plants to the overall power generation challenges the stability of electricity …
photovoltaic plants to the overall power generation challenges the stability of electricity …