Academic literature on the topic 'Solar Computing'

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Journal articles on the topic "Solar Computing"

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Blanco-Muriel, Manuel, Diego C. Alarcón-Padilla, Teodoro López-Moratalla, and MartÍn Lara-Coira. "Computing the solar vector." Solar Energy 70, no. 5 (2001): 431–41. http://dx.doi.org/10.1016/s0038-092x(00)00156-0.

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Hosman, Laura, and Bruce Baikie. "Solar-Powered Cloud Computing Datacenters." IT Professional 15, no. 2 (2013): 15–21. http://dx.doi.org/10.1109/mitp.2011.116.

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Kumar, Kanhaiya, Lokesh Varshney, A. Ambikapathy, et al. "Soft computing and IoT based solar tracker." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 3 (2021): 1880. http://dx.doi.org/10.11591/ijpeds.v12.i3.pp1880-1889.

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<p>The significance of the solar energy is to intensify the effectiveness of the Solar Panel with the use of a primordial solar tracking system. Here we propounded a solar positioning system with the use of the global positioning system (GPS) , artificial neural network (ANN) and image processing (IP) . The azimuth angle of the sun is evaluated using GPS which provide latitude, date, longitude and time. The image processing used to find sun image through which centroid of sun is calculated and finally by comparing the centroid of sun with GPS quadrate to achieve optimum tracking point. W
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Kanhaiya, Kumar, Varshney Lokesh, Ambikapathy A., et al. "Soft computing and IoT based solar tracker." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 3 (2021): 1880–89. https://doi.org/10.11591/ijpeds.v12.i3.pp1880-1889.

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The significance of the solar energy is to intensify the effectiveness of the Solar Panel with the use of a primordial solar tracking system. Here we propounded a solar positioning system with the use of the global positioning system (GPS) , artificial neural network (ANN) and image processing (IP) . The azimuth angle of the sun is evaluated using GPS which provide latitude, date, longitude and time. The image processing used to find sun image through which centroid of sun is calculated and finally by comparing the centroid of sun with GPS quadrate to achieve optimum t
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Wu, Wengang. "Phase change storage solar heat pump hydronics based on cloud computing." Thermal Science 28, no. 2 Part B (2024): 1423–29. http://dx.doi.org/10.2298/tsci2402423w.

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In order to understand the solar heat pump heating system, a phase-change storage solar heat pump heating system based on cloud computing is proposed. This paper first introduces the solar heat pump as a phase change energy storage that can change four types of heat depending on the weather conditions and significantly reduce the energy consumption of the system. Second, through the special design of the energy storage capacitor, in addition adjusting the energy distribution of the solar heat pump system, it can also improve the reliability of supply and demand between the solar heat pump syst
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Ashish, Garg Anil Kukreti. "Feeder Level Challenges and Issues in Solar Photovoltaic Grid Integration." Scandinavian Journal of Information Systems 34, no. 1 (2022): 212–19. https://doi.org/10.5281/zenodo.7885547.

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Grid computing is a form of distributed computing but different from conventional distributed computing in a manner that it tends to be heterogeneous, more loosely coupled and dispersed geographically. Grid computing can involve lot of computational tasks which requires trustworthy computational nodes. Load balancing in grid computing is a technique which overall optimizes the whole process of assigning computational tasks to processing nodes. Optimization of this process must contains the overall maximization of resources utilization with balance load on each processing unit and also by decre
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Bashahu, M., and D. Laplaze. "An atmospheric model for computing solar radiation." Renewable Energy 4, no. 4 (1994): 455–58. http://dx.doi.org/10.1016/0960-1481(94)90054-x.

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Mohanty, Sthita Pragyan, Auroshis Rout, Prashanta Kumar Patra, and Sudhansu S. Sahoo. "Soft Computing Techniques for a Solar Collector Using Solar Radiation Data." Energy Procedia 109 (March 2017): 439–46. http://dx.doi.org/10.1016/j.egypro.2017.03.059.

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Liu, Yang, Kefei Song, Xiaodong Wang, Bo Chen, Junlin Ma, and Zhenwei Han. "Displacement Analysis of Solar Magnetic Field Images in EUV Wavelengths of Space Solar Telescope." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 03 (2019): 1950005. http://dx.doi.org/10.1142/s0218001419500058.

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In this paper, the combination of nonlinear gradient iteration and crossing method is presented in order to analyze high precision remote sensing images of solar magnetic field in extreme ultraviolet (EUV) wavelengths which are usually affected by solar magnetic evolution, satellite attitude changes and random satellite jitter, and to reduce structural complexity the complicated correlation tracker is normally adopted. Using crossing method which better approached the inefficiency by computing full-scale solar magnetic field images, nine point areas are uniformly selected in full-scale solar m
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Indliya, Jagat Naryan. "COMPREHENSIVE REVIEW OF SOLAR PV POWER FORECASTING USING INTELLIGENT COMPUTING." International Journal of Technical Research & Science 7, no. 07 (2022): 11–17. http://dx.doi.org/10.30780/ijtrs.v07.i07.003.

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The field of renewable energy offers answers to emerging nations' problems with sustainable energy. The electricity constraint in India is being addressed by the adoption of various renewable energy options. The market is promising for domestic organisations, distribution networks, and transmission networks, but the financial position is slow and considerable despite the recent significant growth in power generation. India has an installed capacity for wind power of 230,000 kilowatts and 450,000 kilowatts of hydroelectric power, however it has little to no potential for renewable energy. Altho
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Dissertations / Theses on the topic "Solar Computing"

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Singh, Abhishek. "Mobile Crowd Instrumentation: Design of Surface Solar Irradiance Instrument." Kent State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1491777121026468.

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Laungrungthip, Nuchjira. "Sky detection in images for solar exposure prediction." Diss., Lincoln University, 2008. http://hdl.handle.net/10182/855.

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This project describes a technique for segmenting regions of sky in an image from the remainder of the image. This segmentation technique is part of a method for predicting the solar exposure at a location of interest from a set of photographs. Given the latitude and longitude of the position and the direction and field of view of the camera it is possible to calculate the position of the sun in the image at a particular time on a particular day. If that position is in a sky region of the image then the location will be exposed to the sun at that time. Critical to the success of this method f
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Andrijauskas, Fábio 1986. "Detecção de filamentos solares utilizando processamento paralelo em arquiteturas híbridas = Detection of solar filaments using parallel processing in hybrid architectures." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/267769.

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Orientadores: André Leon Sampaio Gradvohl, Vitor Rafael Coluci<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Tecnologia<br>Made available in DSpace on 2018-08-21T23:26:09Z (GMT). No. of bitstreams: 1 Andrijauskas_Fabio_M.pdf: 2796809 bytes, checksum: 9fd4e03f6038d482ed05a64517bb1780 (MD5) Previous issue date: 2013<br>Resumo: A quantidade de imagens astronômicas geradas cresce diariamente, além da quantidade já obtida e armazenada. Uma grande fonte de dados são imagens solares, cujo estudo pode detectar eventos que têm a capacidade de afetar as telecomunicações,
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Lakshminarayanan, Srivathsan. "Nature Inspired Grey Wolf Optimizer Algorithm for Minimizing Operating Cost in Green Smart Home." University of Toledo / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1438102173.

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Letochová, Jana. "Optimalizace využití solární energie v rodinném domě." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2014. http://www.nusl.cz/ntk/nusl-226847.

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This thesis is focused on solar energy as an alternative sustainable energy source and its use in family homes. The first part focuses on possible connections of solar energy systems and their design using software simulations. The second part consists of a design for the preparation of hot water in the family home. Finally, a comparison of the efficiency of the set collector according to different calculation methods is included.
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Wargnier, Quentin. "Mathematical modeling and simulation of non-equilibrium plasmas : application to magnetic reconnection in the Sun atmosphere." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLC066.

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La capacité de modéliser, simuler et prédire le phénomène de reconnexion magnétique est un enjeu crucial pour de nombreuses applications (ITER, plasmas astrophysiques) et impacte la prédiction du « temps solaire » et des « orages magnétiques » pouvant perturber les satellites. L’enjeu scientifique fondamental est la description du transfert instationnaire d’énergie magnétique en énergie cinétique et thermique, encore hors d’atteinte des modèles magnéto-hydrodynamique (MHD) actuels. L’objectif premier de la thèse est le développement d’un modèle fluide cohérent de plasma magnétisé hors équilibr
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Polet, Pierre-Etienne. "Portage des chaînes de traitement sonar sur architecture hétérogène : conception et évaluation d'un environnement de programmation basé sur les tâches moldables." Electronic Thesis or Diss., Lyon, École normale supérieure, 2024. http://www.theses.fr/2024ENSL0004.

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L'augmentation des besoins en calcul dans les chaînes de traitement SONAR incite au choix d'architectures hétérogènes à base de GPGPU. La complexité de ces architectures rend l'implémentation d'algorithmes difficile pour des personnes qui ne sont pas à la fois spécialistes du domaine d'application et de la programmation parallèle. Cette thèse propose de répondre à cette problématique en exploitant des notions de programmation par tâches. Des méthodes d'analyse statique du code nous ont permis de regrouper les appels de fonction sur un GPU afin de limiter certains surcoûts en augmentant la gran
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Politaki, Dimitra. "Vers la modélisation de clusters de centres de données vertes." Thesis, Université Côte d'Azur (ComUE), 2019. http://www.theses.fr/2019AZUR4116.

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La consommation énergétique des clusters de centres de données augmente rapidement, ce qui en fait les consommateurs d'électricité à la croissance la plus rapide au monde. Les sources d’électricité renouvelables et en particulier l’énergie solaire en tant qu’énergie propre et abondante peuvent être utilisées pour couvrir leurs besoins en électricité et les rendre «verts», c’est-à-dire alimentés par le photovoltaïque. Ce potentiel peut être exploré en prévoyant l'irradiance solaire et en évaluant la capacité fournie pour les clusters de centres de données. Dans cette thèse, nous développons des
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Liu, Chia-Lun, and 劉家綸. "Study and Fabrication of Al2O3/Pt/Al2O3/Ti Multi-layer Structure Designed by CUDA Parallel Computing for Solar Selective Absorbers." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/64866628925233051865.

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Pinheiro, Olga Maria Neto Dias Constante. "Implementação de técnicas de análise e de previsão de séries temporais a sistemas de radiação solar." Doctoral thesis, 2015. http://hdl.handle.net/10348/5080.

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Tese de Doutoramento em Engenharia Eletrotécnica e de Computadores<br>O trabalho de doutoramento desenvolvido “Implementação de técnicas de análise e de previsão de séries temporais a sistemas de energia solar ” insere-se nas correntes atualmente emergentes, que apontam para o desenvolvimento de técnicas de previsão mais adequadas à determinação da evolução das cargas térmicas em edifícios e da evolução da irradiação incidente disponível em centrais de produção fotovoltaica, entre outras aplicações. Nesta tese é realizado um estudo comparativo de diversos modelos e algoritmos para previsão do
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Books on the topic "Solar Computing"

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S, Slemp Wayne, Perry John E, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Spectrophotometer-integrating-sphere system for computing solar absorptance. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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S, Slemp Wayne, Perry John E, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Spectrophotometer-integrating-sphere system for computing solar absorptance. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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Witte, William G. Spectrophotometer-integrating-sphere system for computing solar absorptance. Langley Research Center, 1991.

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Pachauri, Rupendra Kumar, Jitendra Kumar Pandey, Abhishek Sharma, Om Prakash Nautiyal, and Mangey Ram, eds. Applied Soft Computing and Embedded System Applications in Solar Energy. CRC Press, 2021. http://dx.doi.org/10.1201/9781003121237.

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Pugh, Eric. SOLR 1.4: Enterprise Search Server. Packt Publishing, 2009.

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Simonson, J. R. Computing Methods in Solar Heating Design. Palgrave, 2014.

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Spectrophotometer-integrating-sphere system for computing solar absorptance. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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Ram, Mangey, Jitendra Kumar Pandey, Om Prakash Nautiyal, Rupendra Kumar Pachauri, and Abhishek Sharmu. Applied Soft Computing and Embedded System Applications in Solar Energy. Taylor & Francis Group, 2021.

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Applied Soft Computing and Embedded System Applications in Solar Energy. Taylor & Francis Group, 2021.

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Ram, Mangey, Abhishek Sharma, Om Prakash Nautiyal, Rupendra Kumar Pachauri, and J. K. Pandey. Applied Soft Computing and Embedded System Applications in Solar Energy. Taylor & Francis Group, 2021.

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Book chapters on the topic "Solar Computing"

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Hassan, Hamdy, and Tamer F. Megahed. "Solar Cell Modeling." In Computing and Simulation for Engineers. CRC Press, 2022. http://dx.doi.org/10.1201/9781003222255-1.

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Prakash, Om, Saurabh Ranjan, Anil Kumar, and P. P. Tripathy. "Applications of Soft Computing in Solar Drying Systems." In Solar Drying Technology. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3833-4_14.

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Sumathi, S., L. Ashok Kumar, and P. Surekha. "Soft Computing Techniques in Solar PV." In Solar PV and Wind Energy Conversion Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14941-7_3.

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Piazza, Antonino, and Giuseppe Faso. "Concentrated Solar Power: Ontologies for Solar Radiation Modeling and Forecasting." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03992-3_23.

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Padmini, S., and Md Shafeulwara. "Solar-Powered Multipurpose Backpack." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2182-5_21.

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Ekenbäck, Andreas, and Mats Holmström. "MHD Modeling of the Interaction Between the Solar Wind and Solar System Objects." In Applied Parallel Computing. State of the Art in Scientific Computing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11558958_66.

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Panchenko, Vladimir, Valeriy Kharchenko, and Pandian Vasant. "Modeling of Solar Photovoltaic Thermal Modules." In Intelligent Computing & Optimization. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00979-3_11.

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Shilpa, G., Syed Sha Sayaaff, Mallari Suresh, and N. M. Suhas. "Solar Operated Smart Elevator." In Intelligent Computing Techniques for Smart Energy Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0252-9_38.

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Pinto, Tiago, Gabriel Santos, Luis Marques, et al. "Solar Intensity Characterization Using Data-Mining to Support Solar Forecasting." In Distributed Computing and Artificial Intelligence, 12th International Conference. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19638-1_22.

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Banik, Plabon, Md Sabik Alam Rahat, Md Abid Hasan Rafe, Ahmed Wasif Reza, and Mohammad Shamsul Arefin. "Developing an Energy Cost Calculator for Solar." In Intelligent Computing & Optimization. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19958-5_75.

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Conference papers on the topic "Solar Computing"

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Devika, U. H., Disha K. Sanketh, R. Gayathri, Deeksha Deepak, and M. S. Bhargavi. "Solar Spectrum – Understanding Solar Activity Patterns Within a Solar Cycle Using Machine Learning Techniques." In 2024 2nd World Conference on Communication & Computing (WCONF). IEEE, 2024. http://dx.doi.org/10.1109/wconf61366.2024.10692029.

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Sravankumar, K., K. Venkata Ramireddy, Srinivasa Rao Boddepalli, Sharmeela Chenniappan, P. Bharath Kumar, and K. Durga Syam Prasad. "Soft Computing Techniques Based MPPT for Solar Photovoltaic System." In 2024 International BIT Conference (BITCON). IEEE, 2024. https://doi.org/10.1109/bitcon63716.2024.10984865.

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Guha, Shobham, Arghya Ghosh, Kamakhya Narain Singh, Chinmaya Misra, Sadhana Sudershana, and Biswadev Goswami. "Dual-Axis Solar Tracker: An Efficient Budgetfriendly Way to Utilize Solar Energy." In 2024 International Conference on Computing, Sciences and Communications (ICCSC). IEEE, 2024. https://doi.org/10.1109/iccsc62048.2024.10830356.

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G, Saritha, Deepthi V, Jaswanthi Sri M, Jeevabharathi V, Raghavi M, and Saravanan T. "Solar Swift IOT Based Automated Cleaning and Performance Optimization for Solar Panels." In 2025 International Conference on Computing and Communication Technologies (ICCCT). IEEE, 2025. https://doi.org/10.1109/iccct63501.2025.11018907.

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Goud M., P. Harikrishna, Patil Mounica, Natarajan Karuppiah, S. Ravivarman, and Tellapati Anuradha Devi. "Design of Solar Dust Cleaning with Robot and Solar Monitoring System." In 2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS). IEEE, 2024. https://doi.org/10.1109/icacrs62842.2024.10841553.

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Oluwatoyin, Ojo Augustine, Sunday A. Afolalu, Olawale C. Ogunnigbo, et al. "Innovations in Hybrid Solar Panels: Exploring Advancements in Solar Cell Technology." In 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON). IEEE, 2024. https://doi.org/10.1109/nigercon62786.2024.10926934.

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Bingöl, Gülnur Yılmaz, Ahmet Doğan, and Enis Günay. "Solar Radiation Forecasting using Multi-Reservoir Computing and Performance Analysis." In 2024 15th National Conference on Electrical and Electronics Engineering (ELECO). IEEE, 2024. https://doi.org/10.1109/eleco64362.2024.10847106.

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Okokpujie, Imhade P., Aderonke O. Akinwumi, Abdulawwal A. Adebayo, Emmanuel Omoiya, Adedotun O. Adetunla, and Kennedy Okokpujie. "Development of a Solar-Powered Robotic Arm With an Installed Solar Tracker." In 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON). IEEE, 2024. https://doi.org/10.1109/nigercon62786.2024.10927046.

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De Matos, Felipe Pontes, Mateus Santos Da Silva, José Carlos Mendes Gomes, Marlon Soares Sigales, and Paulo Jefferson Dias de Oliveira Evald. "Enhancing solar photovoltaic systems: a soft-computing optimization of the solar tracker actuator using horned lizard algorithm." In 2024 16th Seminar on Power Electronics and Control (SEPOC). IEEE, 2024. http://dx.doi.org/10.1109/sepoc63090.2024.10747439.

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Jain, Natasha, and Dinesh Naik. "AI based Solar Power Forecasting." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10726181.

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Reports on the topic "Solar Computing"

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Chen, Guanling, and David Kotz. Solar: A Pervasive-Computing Infrastructure for Context-Aware Mobile Applications. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada440303.

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Chen, Guanling, and David Kotz. Solar: Towards a Flexible and Scalable Data-Fusion Infrastructure for Ubiquitous Computing. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada440112.

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Gabriel, P. Fast methods of computing bulk radiative properties of inhomogeneous clouds illuminated by solar radiation. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/232592.

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Norquist, Donald C. High Performance Computing Application: Solar Dynamo Model Project II, Corona and Heliosphere Component Initialization, Integration and Validation. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada626926.

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Reno, Matthew J., Andrew Charles Riehm, Robert John Hoekstra, et al. Final report for %22High performance computing for advanced national electric power grid modeling and integration of solar generation resources%22, LDRD Project No. 149016. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1011206.

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Aspuru-Guzik, Alan. Towards 3rd generation organic tandem solar cells with 20% efficiency: Accelerated discovery and rational design of carbon-based photovoltaic materials through massive distributed volunteer computing. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1330957.

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Aspuru-Guzik, Alan. Harnessing the power of ab initio calculations, distributed computing andmachine learning to efficiently locate extreme molecules for use in carbon-based solar cells. Final Technical Report. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1561222.

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George, Alan D. Parallel and Distributed Computing Architectures and Algorithms for Fault-Tolerant Sonar Arrays. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada359698.

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Innovación y tecnologías de la información: Reimaginando el futuro de las Américas. Inter-American Development Bank, 2015. http://dx.doi.org/10.18235/0006155.

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Hoy en día el impacto positivo de largo plazo de las TIC en el crecimiento de la productividad es largamente reconocido en la literatura económica. A nivel macro,estudios que contabilizan el crecimiento han demostrado claramente el efecto positivo de la difusión de las TIC sobre el desempeño económico de un país y se ha argumentado que la fuerte caída de los precios relativos de los equipos de las TIC es la clave para entender el resurgimiento del crecimiento económico en los Estados Unidos desde 1995 (Jorgenson, 2001). Sin embargo, la contribución de las TIC al aumento de la productividad var
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