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1

G, Sigari, Costi T, Michigan State University. Division of Engineering Research., and United States. National Aeronautics and Space Administration., eds. Effect of accuracy of wind power prediction on power system operator: Final report. College of Engineering, Michigan State University, 1985.

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2

National Renewable Energy Laboratory (U.S.) and IEEE Energy Conversion Congress and Exposition (2012 : Raleigh, N.C.), eds. Wind power plant prediction by using neural networks: Preprint. National Renewable Energy Laboratory, 2012.

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3

P, Shepherd Kevin, and Langley Research Center, eds. Wind turbine acoustics. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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4

Effect of accuracy of wind power prediction on power system operator: Final report. College of Engineering, Michigan State University, 1985.

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5

Lange, Matthias, and Ulrich Focken. Physical Approach to Short-Term Wind Power Prediction. Springer London, Limited, 2006.

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6

Lange, Matthias, and Ulrich Focken. Physical Approach to Short-Term Wind Power Prediction. Springer, 2009.

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7

Lange, Matthias, and Ulrich Focken. Physical Approach to Short-Term Wind Power Prediction. Springer Berlin / Heidelberg, 2010.

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8

Physical Approach to Short-Term Wind Power Prediction. Springer-Verlag, 2006. http://dx.doi.org/10.1007/3-540-31106-8.

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9

Physical Approach to Short-Term Wind Power Prediction. Springer, 2005.

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10

Zastrau, David. Estimation of Uncertainty of Wind Energy Predictions: With Application to Weather Routing and Wind Power Generation. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2017.

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11

Zastrau, David. Estimation of Uncertainty of Wind Energy Predictions: With Application to Weather Routing and Wind Power Generation. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2017.

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12

Zastrau, David. Estimation of Uncertainty of Wind Energy Predictions: With Application to Weather Routing and Wind Power Generation. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2017.

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13

Zastrau, David. Estimation of Uncertainty of Wind Energy Predictions: With Application to Weather Routing and Wind Power Generation. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2017.

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14

Wu, Bin, and Venkata Yaramasu. Model Predictive Control of Wind Energy Conversion Systems. Wiley & Sons, Incorporated, John, 2016.

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15

Wu, Bin, and Venkata Yaramasu. Model Predictive Control of Wind Energy Conversion Systems. Wiley & Sons, Incorporated, John, 2016.

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16

Wu, Bin, and Venkata Yaramasu. Model Predictive Control of Wind Energy Conversion Systems. Wiley & Sons, Incorporated, John, 2016.

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17

Wu, Bin, and Venkata Narasimha R. Yaramasu. Predictive Control of Wind Energy Conversion Systems. Wiley & Sons, Incorporated, John, 2016.

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18

Corrales, Javier. Venezuela. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190868895.003.0005.

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This first case study offers more proof of the book’s argument for power asymmetry by controlling for country (while testing the argument across time). Three major constituent assemblies and an aborted case in Venezuela are compared. In all, the best predictor of resulting presidential powers is power asymmetry. Furthermore, this chapter draws on the Venezuelan experience to offer two additional insights about the politics of constitution-making. First, inclusionary processes are crucial for constitutional legitimacy. Second, refined measurements of inclusion are needed to determine the effect
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19

Johansen, Bruce E. Climate Change. ABC-CLIO, LLC, 2017. http://dx.doi.org/10.5040/9798216961727.

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This three-volume set presents entries and primary sources that will impress on readers that what we do—or don't do—today regarding climate change will dramatically influence what life on this planet will be like for untold numbers of generations. How are the behaviors of birds, butterflies, and other migratory animals connected to climate change? What does the term "thermal inertia" mean, and what does this geophysical effect have on predicting what the planet's future will be like? What is the context for the effects we are seeing on various forms of animal life, from migrating birds to pola
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20

Johansen, Bruce E. Climate Change. ABC-CLIO, LLC, 2017. http://dx.doi.org/10.5040/9798216961734.

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This three-volume set presents entries and primary sources that will impress on readers that what we do—or don't do—today regarding climate change will dramatically influence what life on this planet will be like for untold numbers of generations. How are the behaviors of birds, butterflies, and other migratory animals connected to climate change? What does the term "thermal inertia" mean, and what does this geophysical effect have on predicting what the planet's future will be like? What is the context for the effects we are seeing on various forms of animal life, from migrating birds to pola
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21

Johansen, Bruce E. Climate Change. ABC-CLIO, LLC, 2017. http://dx.doi.org/10.5040/9798216961741.

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This three-volume set presents entries and primary sources that will impress on readers that what we do—or don't do—today regarding climate change will dramatically influence what life on this planet will be like for untold numbers of generations. How are the behaviors of birds, butterflies, and other migratory animals connected to climate change? What does the term "thermal inertia" mean, and what does this geophysical effect have on predicting what the planet's future will be like? What is the context for the effects we are seeing on various forms of animal life, from migrating birds to pola
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