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Books on the topic 'Photovoltaic forecasting'

Author: Grafiati
Published: 11 January 2025

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1

Nelson, Brent P. Potential of Photovoltaics. Washington, D.C: National Renewable Energy Laboratory, 2008.

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2

National Renewable Energy Laboratory (U.S.) and International Workshop on the Integration of Solar Power into Power Systems (3rd : 2013 : London, England), eds. Metrics for evaluating the accuracy of solar power forecasting. Golden, CO: National Renewable Energy Laboratory, 2013.

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3

National Renewable Energy Laboratory (U.S.) and IEEE Photovoltaic Specialists Conference (37th : 2011 : Seattle, Wash.), eds. An economic analysis of photovoltaics versus traditional energy sources: Where are we now and where might we be in the near future? : preprint. Golden, Colo.]: National Renewable Energy Laboratory, 2011.

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4

Solar Energy Technologies Program (U.S.), National Renewable Energy Laboratory (U.S.), and IEEE Photovoltaic Specialists Conference (37th : 2011 : Seattle, Wash.), eds. An economic analysis of photovoltaics versus traditional energy sources: Where are we now and where might we be in the near future? [Golden, Colo.]: National Renewable Energy Laboratory, U.S. Dept. of Energy, Office of Energy Efficienty and Renewable Energy, 2011.

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5

Ray, George, Bush Brian, National Renewable Energy Laboratory (U.S.), and Colorado Renewable Energy Conference (2009), eds. Estimating solar PV output using modern space/time geostatistics. Golden, Colo.]: National Renewable Energy Laboratory, 2009.

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6

National Renewable Energy Laboratory (U.S.), ed. Future of grid-tied PV business models: What will happen when PV penetration on the distribution grid is significant? : preprint. Golden, CO: National Renewable Energy Laboratory, 2008.

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7

Solar Irradiance and Photovoltaic Power Forecasting. Taylor & Francis Group, 2024.

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8

Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications. MDPI, 2020. http://dx.doi.org/10.3390/books978-3-03943-201-1.

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9

Aghaei, Mohammadreza. Solar Radiation: Measurement, Modeling and Forecasting Techniques for Photovoltaic Solar Energy Applications. IntechOpen, 2022.

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10

Solar Radiation - Measurements, Modeling and Forecasting for Photovoltaic Solar Energy Applications [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.87671.

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11

Kalogirou, Soteris, and Adel Mellit. Handbook of Artificial Intelligence Techniques in Photovoltaic Systems: Modelling, Control, Optimization, Forecasting and Fault Diagnosis. Elsevier Science & Technology, 2022.

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12

Kalogirou, Soteris, and Adel Mellit. Handbook of Artificial Intelligence Techniques in Photovoltaic Systems: Modelling, Control, Optimization, Forecasting and Fault Diagnosis. Elsevier Science & Technology Books, 2022.

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13

Wiley, John. Photovoltaic Materials: An Analysis of Emerging Technology and Markets (Technical Insights, R-259). John Wiley & Sons Inc, 1999.

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14

Degradation, Mitigation, and Forecasting Approaches in Thin Film Photovoltaics. Elsevier, 2022. http://dx.doi.org/10.1016/c2020-0-00458-5.

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15

Deb, Dipankar, and Kshitij Bhargava. Degradation, Mitigation and Forecasting Approaches in Thin Film Photovoltaics. Elsevier Science & Technology, 2021.

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16

Deb, Dipankar, and Kshitij Bhargava. Degradation, Mitigation, and Forecasting Approaches in Thin Film Photovoltaics. Elsevier Science & Technology Books, 2021.

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17

Large Scale Grid Integration of Renewable Energy Sources. Institution of Engineering & Technology, 2017.

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18

Large Scale Grid Integration of Renewable Energy Sources. Institution of Engineering & Technology, 2017.

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