Girasol, a sky imaging and global solar irradiance dataset
TLDR
In this paper, the Girasol Machine (Girasol means Sunflower in Spanish) is proposed to forecast Global Solar Irradiance (GSI) using a data acquisition system (DAQ) that simultaneously records sky imaging and GSI measurements, with the objective of extracting features from clouds and use them to forecast the power produced by a Photovoltaic (PV) system.About:
This article is published in Data in Brief.The article was published on 2021-03-04 and is currently open access. It has received 15 citations till now. The article focuses on the topics: Solar irradiance & Pyranometer.read more
Citations
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Journal ArticleDOI
Deep learning based solar radiation micro forecast by fusion of infrared cloud images and radiation data
Meenu Ajith,Manel Martínez-Ramón +1 more
TL;DR: In this paper, a multi-modal fusion network is developed for studying solar irradiance micro forecasts by using both infrared images and past solar irradiances data, where both spatial and temporal information is extracted parallelly and fused using a fully connected neural network.
Journal ArticleDOI
Multi-layer wind velocity field visualization in infrared images of clouds for solar irradiance forecasting
TL;DR: This article investigates how to infer multiple wind velocity fields using consecutive longwave infrared (IR) images of clouds to forecast the occlusion of the Sun by clouds.
Journal ArticleDOI
Comparative analysis of methods for cloud segmentation in ground-based infrared images
TL;DR: In this paper, a comparison between discriminative and generative models for cloud segmentation is presented, where both unsupervised and supervised learning methods are evaluated using the j-statistic.
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Kernel learning for intra-hour solar forecasting with infrared sky images and cloud dynamic feature extraction
TL;DR: In this paper , a multi-task intra-hour solar forecast is proposed to optimize energy dispatch and increase the participation of photovoltaics in power grids, which can potentially assist grid operators in managing the inherent uncertainties of power grids with a high participation of solar energy resources.
Journal ArticleDOI
CyL-GHI: Global Horizontal Irradiance Dataset Containing 18 Years of Refined Data at 30-Min Granularity from 37 Stations Located in Castile and León (Spain)
TL;DR: In this article , the authors presented the methodology applied to introduce a large-scale, public, and solar irradiance dataset, CyL-GHI, containing refined data from 37 stations found within the Spanish region of Castile and León (Spanish: Castilla y León, or CyL), in addition to the data cleaning steps, the procedure also features steps that enable the addition of meteorological and geographical variables that complement the value of the initial data.
References
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Journal ArticleDOI
Machine learning methods for solar radiation forecasting: A review
Cyril Voyant,Gilles Notton,Soteris A. Kalogirou,Marie Laure Nivet,Christophe Paoli,Christophe Paoli,Fabrice Motte,Alexis Fouilloy +7 more
TL;DR: An overview of forecasting methods of solar irradiation using machine learning approaches is given and it will be shown that other methods begin to be used in this context of prediction.
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Review of solar irradiance forecasting methods and a proposition for small-scale insular grids
TL;DR: In this article, the authors present an in-depth review of the current methods used to forecast solar irradiance in order to facilitate selection of the appropriate forecast method according to needs.
Book
Digital Video and HDTV Algorithms and Interfaces
TL;DR: Poynton's 1996 book A Technical Introduction to Digital Video became an industry favorite for its succinct, accurate, and accessible treatment of standard definition television (SDTV) In Digital Video and HDTV, Poynton augments that book with coverage of high definition television and compression systems.
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Is a 100% renewable European power system feasible by 2050?
TL;DR: In this article, the authors model seven scenarios for the European power system in 2050 based on 100% renewable energy sources, assuming different levels of future demand and technology availability, and compare them with a scenario which includes low-carbon non-renewable technologies.
Journal ArticleDOI
History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining
TL;DR: This paper presents a preliminary study on how to review solar irradiance and photovoltaic power forecasting using text mining, which serves as the first part of a forthcoming series of text mining applications in solar forecasting.
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