Books on the topic 'Power predictions'

United States. National Aeronautics and Space Administration., ed. Power-on performance predictions for a complete generic hypersonic vehicle configuration. MCAT Institute, 1991.

United States. National Aeronautics and Space Administration., ed. Power-on performance predictions for a complete generic hypersonic vehicle configuration. MCAT Institute, 1991.

U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research and OECD Halden Reactor Project, eds. International HRA empirical study--phase 2 report: Results from comparing HRA method predictions to simulator data from SGTR scenarios. U.S. Nuclear Regulatory Commission, 2009.

Bodaly, R. A. The mercury problem in hydro-electric reservoirs with predictions of mercury burdens in fish in the proposed Grande Baleine Complex, Québec. North Wind Information Services, 1992.

McKay, Michael D. Evaluating prediction uncertainty. The Commission, 1995.

Mason, Lee S. A Solar Dynamic power option for Space Solar Power. National Aeronautics and Space Administration, Glenn Research Center, 1999.

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.

Radojčić, Dejan, Milan Kalajdžić, and Aleksandar Simić. Power Prediction Modeling of Conventional High-Speed Craft. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30607-6.

York, Richard. Branch prediction strategies for low power microprocessor design. Universityof Manchester, 1994.

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.

Kempe, Michael D. Predicting the performance of edge seal materials for PV. National Renewable Energy Laboratory, 2012.

Lampton, Christopher. Predicting nuclear and other technological disasters. F. Watts, 1989.

Bernreuter, D. L. Development of site specific response spectra. Division of Engineering Safety, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1987.

Bernreuter, D. L. Development of site specific response spectra. Division of Engineering Safety, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1987.

Radojčić, Dejan. Reflections on Power Prediction Modeling of Conventional High-Speed Craft. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-94899-7.

Ruan, Xinbo, Lihong Xie, Qing Ji, and Xibo Yuan. Conducted Electromagnetic Interference in Power Converters: Modeling, Prediction and Reduction. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9295-9.

Webb, Keith. Prediction in international relations: The role of power, interest, and trust. University of Kent at Canterbury, Board of Politics and International Relations, 1992.

Kurtz, S. R. Defining a technical basis for confidence in PV investments: A pathway to service life prediction. National Renewable Energy Laboratory, 2013.

Vilamitjana, Enric Rodríguez. Chaos in Switching Converters for Power Management: Designing for Prediction and Control. Springer New York, 2013.

Kaisha, Kokusai Kōgyō Kabushiki. Genshiryoku shisetsu no anzen ni kakaru kazan katsudō chōsa kenkyū hōkokusho: Heisei 20-nendo genshiryoku anzen kiban chōsa kenkyū (sono 3). Kokusai Kōgyō, 2009.

Gottlieb, J. J. Numerical prediction of blast-wave flows outside and inside a power house of a nuclear-power generating station. Institute for Aerospace Studies, 1985.

Agahi, Peyman. Numerical prediction of noise attenuation from an acoustically enclosed diesel power generating set. The Author], 2000.

Center, Langley Research, ed. Comparing parameter estimation techniques for an electrical power transformer oil temperature prediction model. National Aeronautics and Space Administration, Langley Research Center, 1999.

Keck, R. G. Prediction and mitigation of erosive-corrosive wear in secondary piping systems of nuclear power plants. Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1987.

Wang, Peijie. Underlying trend movement trading noise and the predicting power of forward premia. Manchester School of Management, 2000.

Kalsi, M. S. Prediction of check valve performance and degradation in nuclear power plant systems: Final report. Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1988.

Gavrilov, O. A. Strategii͡a︡ pravotvorchestva i sot͡s︡ialʹnoe prognozirovanie. In-t gosudarstva i prava Rossiĭskoĭ akademii nauk, 1993.

1961-, Li M., University of Maryland (College Park, Md.), and U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Engineering Technology., eds. Software engineering measures for predicting software reliability in safety critical digital systems. U.S. Nuclear Regulatory Commission, 2000.

Turi, Louis, and Turi. Moon Power Starguide 2000; Universal Guidance and Predictions. Startheme Publications, 1999.

System performance predictions for Space Station Freedom's electric power system. National Aeronautics and Space Administration, 1993.

Turi, Louis, Nancy Melton, and Chris Tittle. Moon Power 2001 : Universal Guidance and Predictions for Each Year. Startheme Publications, 1999.

Bo, Hu. Chinese Maritime Power in the 21st Century: Strategic Planning, Policy and Predictions. Taylor & Francis Group, 2019.

Bo, Hu. Chinese Maritime Power in the 21st Century: Strategic Planning, Policy and Predictions. Taylor & Francis Group, 2019.

Bo, Hu. Chinese Maritime Power in the 21st Century: Strategic Planning, Policy and Predictions. Taylor & Francis Group, 2019.

Bo, Hu. Chinese Maritime Power in the 21st Century: Strategic Planning, Policy and Predictions. Taylor & Francis Group, 2019.

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.

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.

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.

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.

Techniques for fatigue life predictions from measured strains, final report: Appendix E, HTOTP bearing cartridge and MCC coolant inlet duct power spectral densities. Failure Analysis Associates, Engineering and Metallurgical Consultants, 1986.

Haq, Khadija, ed. Personal Reflections on the World of the 1990s. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199474684.003.0015.

Jesse, Neal G., and John R. Dreyer. Small States in the International System. Published by Lexington Books, 2016. https://doi.org/10.5040/9781978731783.

Roulette's R+Evolution: The Prediction Power. Outskirts Press, Incorporated, 2013.

Mustafaraj, Eni. Power of Prediction with Social Media. Emerald Publishing Limited, 2013.

Anderson, Jason Helge. Power optimization and prediction techniques for FPGAs. 2005.

Media, Irb. Summary of Ajay Agrawal's Power and Prediction. IRB MEDIA, 2024.

Fardadi, Malahat. Predicting fatigue failure of power conductors. 2004.

The Future of the Great Powers: Predictions. Orion, 1999.

Dodds, Klaus. 2. An intellectual poison? Oxford University Press, 2014. http://dx.doi.org/10.1093/actrade/9780199676781.003.0002.

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