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In this paper, we present a method to determine the global horizontal irradiance (GHI) from the power measurements of one or more PV systems, located in the same neighborhood. The method is completely unsupervised and is based on a physical…

Machine Learning · Statistics 2018-02-23 Lorenzo Nespoli , Vasco Medici

Accurate estimation of solar irradiance is essential for reliable modelling of solar photovoltaic (PV) power production. In Ireland's highly variable maritime climate, where ground-based measurement stations are sparsely distributed,…

Applications · Statistics 2025-09-26 Maeve Upton , Eamonn Organ , Amanda Lenzi , James Sweeney

Due to the increasing proportion of distributed photovoltaic (PV) production in the generation mix, the knowledge of the PV generation capacity has become a key factor. In this work, we propose to compute the PV plant maximum power starting…

Systems and Control · Computer Science 2017-05-12 Enrica Scolari , Fabrizio Sossan , Mario Paolone

Predicting the intensity and amount of sunlight as a function of location and time is an essential component in identifying promising locations for economical solar farming. Although weather models and irradiance data are relatively…

Applications · Statistics 2019-06-25 Furong Sun , Robert B. Gramacy , Benjamin Haaland , Siyuan Lu , Youngdeok Hwang

Global and regional climate model projections are useful for gauging future patterns of climate variables, including solar radiation, but data from these models is often too coarse to assess local impacts. Within the context of solar…

Applications · Statistics 2024-05-21 Maggie Bailey , Doug Nychka , Manajit Sengupta , Jaemo Yang , Soutir Bandyopadhyay

Solar photovoltaic (PV) farms represent a major source of global renewable energy generation, yet their true operational efficiency often remains unknown at scale. In this paper, we present a comprehensive, data-driven framework for…

Computer Vision and Pattern Recognition · Computer Science 2025-03-05 Isaac Corley , Conor Wallace , Sourav Agrawal , Burton Putrah , Jonathan Lwowski

Due to the increasing integration of solar power into the electrical grid, forecasting short-term solar irradiance has become key for many applications, e.g.~operational planning, power purchases, reserve activation, etc. In this context,…

Machine Learning · Statistics 2019-11-13 Jesus Lago , Karel De Brabandere , Fjo De Ridder , Bart De Schutter

A novel method for real-time solar generation forecast using weather data, while exploiting both spatial and temporal structural dependencies is proposed. The network observed over time is projected to a lower-dimensional representation…

Machine Learning · Computer Science 2022-06-20 Mohammad Alqudah , Tatjana Dokic , Mladen Kezunovic , Zoran Obradovic

Solar power harbors immense potential in mitigating climate change by substantially reducing CO$_{2}$ emissions. Nonetheless, the inherent variability of solar irradiance poses a significant challenge for seamlessly integrating solar power…

Machine Learning · Computer Science 2023-10-24 Oussama Boussif , Ghait Boukachab , Dan Assouline , Stefano Massaroli , Tianle Yuan , Loubna Benabbou , Yoshua Bengio

We propose a fully probabilistic prediction model for spatially aggregated solar photovoltaic (PV) power production at an hourly time scale with lead times up to several days using weather forecasts from numerical weather prediction systems…

Applications · Statistics 2019-03-05 Thordis Thorarinsdottir , Anders Løland , Alex Lenkoski

With the recent interest in net-zero sustainability for commercial buildings, integration of photovoltaic (PV) assets becomes even more important. This integration remains a challenge due to high solar variability and uncertainty in the…

Systems and Control · Computer Science 2018-08-28 Chaitanya Poolla , Abraham K. Ishihara

The data acquisition of solar radiation in a locality is essential for the development of efficient designs of systems, whose operation is based on solar energy. This paper presents a methodology to estimate solar irradiance using an…

Effective integration planning for small, distributed solar photovoltaic (PV) arrays into electric power grids requires access to high quality data: the location and power capacity of individual solar PV arrays. Unfortunately, national…

Computer Vision and Pattern Recognition · Computer Science 2022-07-27 Wei Hu , Kyle Bradbury , Jordan M. Malof , Boning Li , Bohao Huang , Artem Streltsov , K. Sydny Fujita , Ben Hoen

When cloud layers cover photovoltaic (PV) panels, the amount of power the panels produce fluctuates rapidly. Therefore, to maintain enough energy on a power grid to match demand, utilities companies rely on reserve power sources that…

Solar irradiance is fundamental data crucial for analyses related to weather and climate. High-precision estimation models are necessary to create areal data for solar irradiance. In this study, we developed a novel estimation model by…

Atmospheric and Oceanic Physics · Physics 2024-07-08 Jun Sasaki , Maki Okada , Kenji Utsunomiya , Koji Yamaguchi

The quantity of small scale solar photovoltaic (PV) arrays in the United States has grown rapidly in recent years. As a result, there is substantial interest in high quality information about the quantity, power capacity, and energy…

Computer Vision and Pattern Recognition · Computer Science 2016-10-03 Jordan M. Malof , Kyle Bradbury , Leslie M. Collins , Richard G. Newell

Ground-based whole sky cameras are extensively used for localized monitoring of clouds nowadays. They capture hemispherical images of the sky at regular intervals using a fisheye lens. In this paper, we propose a framework for estimating…

Image and Video Processing · Electrical Eng. & Systems 2019-10-14 Soumyabrata Dev , Florian M. Savoy , Yee Hui Lee , Stefan Winkler

The energy output a photo voltaic(PV) panel is a function of solar irradiation and weather parameters like temperature and wind speed etc. A general measure for solar irradiation called Global Horizontal Irradiance (GHI), customarily…

Machine Learning · Computer Science 2019-05-01 Bhaskar Pratim Mukhoty , Vikas Maurya , Sandeep Kumar Shukla

We present a novel framework for spatiotemporal photovoltaic (PV) power forecasting and use it to evaluate the reliability, sharpness, and overall performance of seven intraday PV power nowcasting models. The model suite includes…

Machine Learning · Computer Science 2026-01-09 Luca Lanzilao , Angela Meyer

The engineering of solar power applications, such as photovoltaic energy (PV) or thermal solar energy requires the knowledge of the solar resource available for the solar energy system. This solar resource is generally obtained from…

Space Physics · Physics 2014-10-17 Jonathan Leloux , Luis Narvarte , Loreto Gonzalez-Bonilla
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