Relevant bibliographies by topics / Solar irradiance uncertainty

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Academic literature on the topic 'Solar irradiance uncertainty'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Solar irradiance uncertainty"

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Ball, William T., Natalie A. Krivova, Yvonne C. Unruh, Joanna D. Haigh, and Sami K. Solanki. "A New SATIRE-S Spectral Solar Irradiance Reconstruction for Solar Cycles 21–23 and Its Implications for Stratospheric Ozone*." Journal of the Atmospheric Sciences 71, no. 11 (2014): 4086–101. http://dx.doi.org/10.1175/jas-d-13-0241.1.

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Abstract The authors present a revised and extended total and spectral solar irradiance (SSI) reconstruction, which includes a wavelength-dependent uncertainty estimate, spanning the last three solar cycles using the Spectral and Total Irradiance Reconstruction—Satellite era (SATIRE-S) model. The SSI reconstruction covers wavelengths between 115 and 160 000 nm and all dates between August 1974 and October 2009. This represents the first full-wavelength SATIRE-S reconstruction to cover the last three solar cycles without data gaps and with an uncertainty estimate. SATIRE-S is compared with the
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Madhiarasan, Manoharan, Mohamed Louzazni, and Brahim Belmahdi. "Statistical Analysis of Novel Ensemble Recursive Radial Basis Function Neural Network Performance on Global Solar Irradiance Forecasting." Journal of Electrical and Computer Engineering 2023 (March 28, 2023): 1–10. http://dx.doi.org/10.1155/2023/2554355.

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Reliable operation of energy management systems, grid stability, and managing energy demand responses are becoming challenging because of the flickering nature of solar irradiance. Accurate forecasting of global solar irradiance, i.e., global horizontal irradiance (GHI), plays a significant role in energy policy-making and the energy market. This paper proposes a novel global solar irradiance forecasting model based on the ensemble recursive radial basis function neural networks (ERRBFNNs). The various atmospheric inputs based on the built ensemble recursive radial basis function neural networ
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Hosseini, Majid, Satya Katragadda, Jessica Wojtkiewicz, Raju Gottumukkala, Anthony Maida, and Terrence Lynn Chambers. "Direct Normal Irradiance Forecasting Using Multivariate Gated Recurrent Units." Energies 13, no. 15 (2020): 3914. http://dx.doi.org/10.3390/en13153914.

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Power grid operators rely on solar irradiance forecasts to manage uncertainty and variability associated with solar power. Meteorological factors such as cloud cover, wind direction, and wind speed affect irradiance and are associated with a high degree of variability and uncertainty. Statistical models fail to accurately capture the dependence between these factors and irradiance. In this paper, we introduce the idea of applying multivariate Gated Recurrent Units (GRU) to forecast Direct Normal Irradiance (DNI) hourly. The proposed GRU-based forecasting method is evaluated against traditional
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Saad, N. Md, M. Z. Sujod, M. I. M. Ridzuan, et al. "Solar irradiance uncertainty management based on Monte Carlo-beta probability density function: case in Malaysian tropical climate." Bulletin of Electrical Engineering and Informatics 8, no. 3 (2019): 1135–43. http://dx.doi.org/10.11591/eei.v8i3.1581.

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In recent years, solar PV power generation has seen a rapid growth due to environmental benefits and zero fuel costs. In Malaysia, due to its location near the equator, makes solar energy the most utilized renewable energy resources. Unlike conventional power generation, solar energy is considered as uncertain generation sources which will cause unstable energy supplied. The uncertainty of solar resource needs to be managed for the planning of the PV system to produce its maximum power. The statistical method is the most prominent to manage and model the solar irradiance uncertainty patterns.
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N., Md. Saad, Z. Sujod M., I. M. Ridzuan M., et al. "Solar irradiance uncertainty management based on Monte Carlo-beta probability density function: case in Malaysian tropical climate." Bulletin of Electrical Engineering and Informatics 8, no. 3 (2019): 1135–43. https://doi.org/10.11591/eei.v8i3.1581.

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In recent years, solar PV power generation has seen a rapid growth due to environmental benefits and zero fuel costs. In Malaysia, due to its location near the equator, makes solar energy the most utilized renewable energy resources. Unlike conventional power generation, solar energy is considered as uncertain generation sources which will cause unstable energy supplied. The uncertainty of solar resource needs to be managed for the planning of the PV system to produce its maximum power. The statistical method is the most prominent to manage and model the solar irradiance uncertainty patterns.
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Bernhard, G., and G. Seckmeyer. "Uncertainty of measurements of spectral solar UV irradiance." Journal of Geophysical Research: Atmospheres 104, no. D12 (1999): 14321–45. http://dx.doi.org/10.1029/1999jd900180.

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Wojtkiewicz, Jessica, Matin Hosseini, Raju Gottumukkala, and Terrence Lynn Chambers. "Hour-Ahead Solar Irradiance Forecasting Using Multivariate Gated Recurrent Units." Energies 12, no. 21 (2019): 4055. http://dx.doi.org/10.3390/en12214055.

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Variation in solar irradiance causes power generation fluctuations in solar power plants. Power grid operators need accurate irradiance forecasts to manage this variability. Many factors affect irradiance, including the time of year, weather and time of day. Cloud cover is one of the most important variables that affects solar power generation, but is also characterized by a high degree of variability and uncertainty. Deep learning methods have the ability to learn long-term dependencies within sequential data. We investigate the application of Gated Recurrent Units (GRU) to forecast solar irr
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Myers, Daryl R., Thomas L. Stoffel, Ibrahim Reda, Stephen M. Wilcox, and Afshin M. Andreas. "Recent Progress in Reducing the Uncertainty in and Improving Pyranometer Calibrations." Journal of Solar Energy Engineering 124, no. 1 (2001): 44–50. http://dx.doi.org/10.1115/1.1434262.

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The Measurements and Instrumentation Team within the Distributed Energy Resources Center at the National Renewable Energy Laboratory, NREL, calibrates pyranometers for outdoor testing solar energy conversion systems. The team also supports climate change research programs. These activities led NREL to improve pyranometer calibrations. Low thermal-offset radiometers measuring the sky diffuse component of the reference solar irradiance removes bias errors on the order of 20 Watts per square meter (W/m2) in the calibration reference irradiance. Zenith angle dependent corrections to responsivities
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Nouri, Bijan, Stefan Wilbert, Pascal Kuhn, et al. "Real-Time Uncertainty Specification of All Sky Imager Derived Irradiance Nowcasts." Remote Sensing 11, no. 9 (2019): 1059. http://dx.doi.org/10.3390/rs11091059.

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The incoming downward shortwave solar irradiance is harvested to an increasing extent by solar power plants. However, the variable nature of this energy source poses an operational challenge for solar power plants and electrical grids. Intra hour solar irradiance nowcasts with a high temporal and spatial resolution could be used to tackle this challenge. All sky imager (ASI) based nowcasting systems fulfill the requirements in terms of temporal and spatial resolution. However, ASI nowcasts can only be used if the required accuracies for applications in solar power plants and electrical grids a
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Jardine, Phillip E., Wesley T. Fraser, William D. Gosling, C. Neil Roberts, Warren J. Eastwood, and Barry H. Lomax. "Proxy reconstruction of ultraviolet-B irradiance at the Earth’s surface, and its relationship with solar activity and ozone thickness." Holocene 30, no. 1 (2019): 155–61. http://dx.doi.org/10.1177/0959683619875798.

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Solar ultraviolet-B (UV-B) irradiance that reaches the Earth’s surface acts as a biotic stressor and has the potential to modify ecological and environmental functioning. The challenges of reconstructing ultraviolent (UV) irradiance prior to the satellite era mean that there is uncertainty over long-term surface UV-B patterns, especially in relation to variations in solar activity over centennial and millennial timescales. Here, we reconstruct surface UV-B irradiance over the last 650 years using a novel UV-B proxy based on the chemical signature of pollen grains. We demonstrate a statisticall
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Dissertations / Theses on the topic "Solar irradiance uncertainty"

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Kunene, Maphila Wandile, and 谷尼. "Photovoltaic Penetration Analysis for Distribution Systems Considering Solar Irradiance Uncertainty." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/24731895442737222117.

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碩士<br>國立中山大學<br>電機電力工程國際碩士學程<br>102<br>As the popularity of green energy gains momentum, the increase in solar photovoltaic (PV) system power injected into distributed networks is bound to result in voltage standard violation. A study on photovoltaic penetration considering solar irradiance uncertainty is conducted in this thesis to ensure that power quality is within regulatory bounds. The PV unit size with considerable capacity compared with the network size, which consequently affects the penetration level of the solar photovoltaic distributed generation (PVDG), is examined using Monte Carl
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Books on the topic "Solar irradiance uncertainty"

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Reda, Ibrahim. Method to calculate uncertainties in measuring shortwave solar irradiance using thermopile and semiconductor solar radiometers. National Renewable Energy Laboratory, 2011.

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Book chapters on the topic "Solar irradiance uncertainty"

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A.N. Korevaar, Marc. "Measuring Solar Irradiance for Photovoltaics." In Solar Radiation - Measurement, Modeling and Forecasting Techniques for Photovoltaic Solar Energy Applications [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.105580.

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In recent years, solar energy technology has emerged as one of the leading renewable energy technologies currently available. Solar energy is enabled by the solar irradiance reaching the earth. Here we describe the characteristics of solar irradiance as well as the sources of variation. The different components of the solar irradiance and the instruments for measurement of these components are presented. In photovoltaics, the measurement of solar irradiance components is essential for research, quality control, feasibility studies, investment decisions, plant monitoring of the performance rati
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Krč Pavel, Eben Kryštof, and Pelikán Emil. "Clustering weather situations with respect to prediction of solar irradiance by multiple NWP models." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2014. https://doi.org/10.3233/978-1-61499-419-0-1207.

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With the photovoltaic (PV) and concentrating solar power (CSP) forming a growing portion of European power sources, there is a strong demand for a reliable prediction of solar power. Such predictions are mostly provided by physical or statistical models, both of which rely on accurate forecast of solar irradiance. For the short-to-medium-term forecast horizon (hours to days), irradiance forecast is provided mostly by numerical weather prediction (NWP) models. However, in spite of a recent effort to improve irradiance prediction within current NWP models, its quality is still not satisfactory a
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Hoyt, Douglas V., and Kenneth H. Shatten. "Variations in Solar Brightness." In The Role of the Sun in Climate Change. Oxford University Press, 1997. http://dx.doi.org/10.1093/oso/9780195094138.003.0006.

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In the last chapter we saw that sunspots, aurorae, and geomagnetic disturbances vary in an 11-year cycle. So do many other solar features, including faculae and plages, which are bright regions seen in visible and monochromatic light, respectively. If both bright faculae and dark sunspots follow 11-year cycles, does this mean the sun’s total light output varies? Or are these two contrasting features balanced so that the sun’s output of light remains constant? The light output of the sun is often discussed in two different ways: either as the solar luminosity, which is the sun’s omnidirectional
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Hari, Prakhar, Prachi Mishra, and Pooja Singh. "UNCERTAINTY ANALYSIS AND FORECASTING OF PV POWER PRODUCTION." In Futuristic Trends in Network & Communication Technologies Volume 2 Book 19. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2023. http://dx.doi.org/10.58532/v2bs19p3ch5.

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In today‘s time, the ecological condition and the energy supply has become critical around the world. The important reason for the growth and application of renewable energy sources is the limitation of non-renewable sources. The most ideal nonrenewable energy source is solar energy. The important feature in solar energy consumption patterns is photovoltaic power generation, but the output of photovoltaic power plant is irregular and changes frequently. The current work introduces an empirical ground framework for the analysis of uncertainty and forecasting of photovoltaic (PV) power generatio
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Hoyt, Douglas V., and Kenneth H. Shatten. "Climate Measurement and Modeling." In The Role of the Sun in Climate Change. Oxford University Press, 1997. http://dx.doi.org/10.1093/oso/9780195094138.003.0008.

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Having considered the sun and its variations, we now turn to Earth’s climate and climatic variations. We examine the definition of climate and the difficulties in measuring it. Awareness of these complexities is critical for an appreciation of how difficult it is to demonstrate changing climate. Separating trends from random variations is the first step in defining climate change. After reviewing the statistical properties of climate, we deal with theoretical climate models. This background is important for understanding how solar variations might affect climate. The following four chapters re
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Conference papers on the topic "Solar irradiance uncertainty"

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Myers, Daryl R., Thomas L. Stoffel, Ibrahim Reda, Stephen M. Wilcox, and Afshin M. Andreas. "Recent Progress in Reducing the Uncertainty in and Improving Pyranometer Calibrations." In ASME 2001 Solar Engineering: International Solar Energy Conference (FORUM 2001: Solar Energy — The Power to Choose). American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/sed2001-126.

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Abstract The Measurements and Instrumentation Team within the Distributed Energy Resources Center at the National Renewable Energy Laboratory, NREL, calibrates pyranometers for outdoor testing solar energy conversion systems. The team also supports climate change research programs. These activities led NREL to improve pyranometer calibrations. Low thermal-offset radiometers measuring the sky diffuse component of the reference solar irradiance removes bias errors on the order of 20 Watts per square meter (W/m2) in the calibration reference irradiance. Zenith angle dependent corrections to respo
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Meng, Haifeng, Limin Xiong, Yingwei He, Dingpu Liu, Jieyu Zhang, and Wenxin Li. "Uncertainty analysis of solar simulator's spectral irradiance measurement." In 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2012), edited by Yadong Jiang, Junsheng Yu, and Zhifeng Wang. SPIE, 2012. http://dx.doi.org/10.1117/12.971190.

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Garcia Gonzalez, Alexis. "Industrial Solar Simulator Calibrator based on special solar module." In NCSL International Workshop & Symposium. NCSL International, 2021. http://dx.doi.org/10.51843/wsproceedings.2021.14.

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Mexico is currently emerging in the photovoltaic manufacturing market due to favorable geographical conditions like 5.5 hours of sun every day (5000W/m2) and a strategic commercial partner (USA) for exportation of photovoltaic products, therefore a gradual advance in the photovoltaic field as a source of clean energy generation in Mexico is inevitable, this causes a need to classify solar simulators located in photovoltaic manufacturing facilities across the whole country. The construction of a standard for the classification of large area solar simulators in non- uniformity irradiance (MMNU)
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Kratzenberg, M. G., H. G. Beyer, S. Colle, and A. Albertazzi. "Uncertainty Calculations in Pyranometer Measurements and Application." In ASME 2006 International Solar Energy Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/isec2006-99168.

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The uncertainty of pyranometer measurements should be traced back to the World Radiation Reference (WRR), a standard that is specified by the mean sensitivity of the World Standard Group (WSG). The WSG is build up by 7 primary standard pyrheliometers, operated at Davos, Switzerland. Analyzing the complete calibration chain for an individual field pyranometer, usually the uncertainty of its calibration constant is extracted as a unique figure depending on the calibration method. The common representation of the expanded uncertainty, specified by the manufacturer is global information on the acc
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Wilbert, Stefan, Stefan Kleindiek, Bijan Nouri, et al. "Uncertainty of rotating shadowband irradiometers and Si-pyranometers including the spectral irradiance error." In SOLARPACES 2015: International Conference on Concentrating Solar Power and Chemical Energy Systems. Author(s), 2016. http://dx.doi.org/10.1063/1.4949241.

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Palani, Kartik, Ramachandra Kota, Amar Prakash Azad, and Vijay Arya. "Blue Skies: A Methodology for Data-Driven Clear Sky Modelling." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/528.

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One of the major challenges confronting the widespread adoption of solar energy is the uncertainty of production. The energy generated by photo-voltaic systems is a function of the received solar irradiance which varies due to atmospheric and weather conditions. A key component required for forecasting irradiance accurately is the clear sky model which estimates the average irradiance at a location at a given time in the absence of clouds. Current methods for modelling clear sky irradiance are either inaccurate or require extensive atmospheric data, which tends to vary with location and is oft
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Padovan, Andrea, and Davide Del Col. "Measurement of Solar Radiation for Renewable Energy Systems." In ASME 2008 2nd International Conference on Energy Sustainability collocated with the Heat Transfer, Fluids Engineering, and 3rd Energy Nanotechnology Conferences. ASMEDC, 2008. http://dx.doi.org/10.1115/es2008-54257.

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In this paper the authors present a new set of solar radiation data taken at the latitude of 45.4°, in Padova, Italy. These measurements are performed within a new laboratory for the study of solar energy conversion systems. The global and the diffuse irradiance is measured on the horizontal plane and the global irradiance is also measured on sloped planes. The experimental uncertainty of the measurement of solar radiation is fully analyzed. In the design of a solar system, it is crucial to know the solar radiation on the inclined surface, but generally only data on the horizontal is available
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Rizos-Theodoros, Chadoulis, and Alkiviadis F. Bais. "Determination of uncertainty in hourly and daily averages of solar irradiance due to missing measurements." In 10th Jubilee International Conference of the Balkan Physical Union. Author(s), 2019. http://dx.doi.org/10.1063/1.5091276.

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Ho, Clifford K., Erika L. Roesler, Tu Nguyen, and James Ellison. "Probabilistic Modeling of Climate Change Impacts on Renewable Energy and Storage Requirements For NM’s Energy Transition Act." In ASME 2022 16th International Conference on Energy Sustainability collocated with the ASME 2022 Heat Transfer Summer Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/es2022-81870.

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Abstract This paper provides a study of the potential impacts of climate change on intermittent renewable energy resources, battery storage, and resource adequacy in Public Service Company of New Mexico’s Integrated Resource Plan for 2020–2040. Climate change models and available data were first evaluated to determine uncertainty and potential changes in solar irradiance, temperature, and wind speed in NM in the coming decades. These changes were then implemented in solar and wind energy models to determine impacts on renewable energy resources in NM. Results for the extreme climate-change sce
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Marquez, Ricardo, and Carlos F. M. Coimbra. "A Novel Metric for Evaluation of Solar Forecasting Models." In ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54519.

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This work presents an alternative, time-window invariant metric for evaluating the quality of solar forecasting models. Conventional approaches use statistical quantities such as the root-mean-square-error and/or the correlation coefficients to evaluate model quality. The straightforward use of statistical quantities to assign forecasting quality can be misleading because these metrics do not convey a measure of the variability of the time-series included in the solar irradiance data. In contrast, the quality metric proposed here, which is defined as the ratio of solar uncertainty to solar var
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Reports on the topic "Solar irradiance uncertainty"

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Reda, I. Method to Calculate Uncertainty Estimate of Measuring Shortwave Solar Irradiance using Thermopile and Semiconductor Solar Radiometers. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1021250.

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