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How solar radiation forecasting impacts the utilization of solar energy: A critical review
The demand for energy generation from solar energy resource has been exponentially
increasing in recent years. It is integral for a grid operator to maintain the balance between …
increasing in recent years. It is integral for a grid operator to maintain the balance between …
Measurement placement in electric power transmission and distribution grids: Review of concepts, methods, and research needs
Sensing and measurement systems are quintessential to the safe and reliable operation of
electric power grids. Their strategic placement is of ultimate importance because it is not …
electric power grids. Their strategic placement is of ultimate importance because it is not …
Anomaly detection in all-sky images: An approach using robust ensemble modeling of cloud cover fraction and prediction bounds
All-sky images (ASI) are widely used for sky monitoring, particularly in solar energy
generation applications. Alignment issues and interferences demand a detection process of …
generation applications. Alignment issues and interferences demand a detection process of …
Ultra Short-Term Solar Irradiance Forecast Based on Multimodal Data Fusion and Fuzzification
X Wei, D Yue, GP Hancke, C Dou… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
The intermittency of solar irradiance is the main cause of rapid fluctuations in the power
output of photovoltaic (PV) systems. These fluctuations hinder the large-scale integration of …
output of photovoltaic (PV) systems. These fluctuations hinder the large-scale integration of …
Detection of clouds in multiple wind velocity fields using ground-based infrared sky images
G Terrén-Serrano, M Martínez-Ramón - Knowledge-Based Systems, 2023 - Elsevier
To improve the performance of an intra-hour global solar irradiance forecasting algorithm, it
is important to detect multiple layers of clouds. Horizontal atmospheric wind shear causes …
is important to detect multiple layers of clouds. Horizontal atmospheric wind shear causes …
Irradiance nowcasting by means of deep-learning analysis of infrared images
This work proposes and evaluates a method for the nowcasting of solar irradiance variability
in multiple time horizons, namely 5, 10, and 15 min ahead. The method is based on a …
in multiple time horizons, namely 5, 10, and 15 min ahead. The method is based on a …
[PDF][PDF] Forecasting solar radiation and photovoltaic power
E Lorenz, B Nouri, S Cros, KP Nielsen… - … Handbook for the …, 2024 - hal.univ-reunion.fr
Complementing empirical and physical models, statistical and machine learning (ML)
methods are widely used in solar irradiance and power forecasting. To train time-series …
methods are widely used in solar irradiance and power forecasting. To train time-series …
[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 …
[PDF][PDF] Irradiance Nowcasting by Means of Deep-Learning Analysis of Infrared Images. Forecasting 2022, 4, 338–348
This work proposes and evaluates a method for the nowcasting of solar irradiance variability
in multiple time horizons, namely 5, 10, and 15 min ahead. The method is based on a …
in multiple time horizons, namely 5, 10, and 15 min ahead. The method is based on a …
[PDF][PDF] 融合多尺度特征和梯度信息的云种类识别
金龄杰， 林志玮， 洪宇 - Laser & Optoelectronics Progress, 2022 - researching.cn
摘要针对目前全天空成像仪云图特征提取方法繁琐的问题, 提出一种结合双线密集结构和梯度
信息的云种分类模型, 即双线程梯度卷积神经网络(DGNet), 以优化网络对云图特征的学**能力 …
信息的云种分类模型, 即双线程梯度卷积神经网络(DGNet), 以优化网络对云图特征的学**能力 …