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Dissertations / Theses on the topic 'Power predictions'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Lange, Matthias. "Analysis of the uncertainty of wind power predictions." [S.l. : s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=969985789.

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2

SATO, Ken-ichi, Hiroshi HASEGAWA, and Hiroyuki ITO. "Router Power Reduction through Dynamic Performance Control Based on Traffic Predictions." 電子情報通信学会, 2012. https://search.ieice.org/.

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3

Werngren, Simon. "Comparison of different machine learning models for wind turbine power predictions." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-362332.

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The goal of this project is to compare different machine learning algorithms ability to predict wind power output 48 hours in advance from earlier power data and meteorological wind speed predictions. Three different models were tested, two autoregressive integrated moving average (ARIMA) models one with exogenous regressors one without and one simple LSTM neural net model. It was found that the ARIMA model with exogenous regressors was the most accurate while also beingrelatively easy to interpret and at 1h 45min 32s had a comparatively short training time. The LSTM was less accurate, harder

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4

Kossmann, de Menezes Anna Carolina. "Improving predictions of operational energy performance through better estimates of small power consumption." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/13549.

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This Engineering Doctorate aims to understand the factors that generate variability in small power consumption in commercial office buildings in order to generate more representative, building specific estimates of energy consumption. Current energy modelling practices in England are heavily focussed on simplified calculations for compliance with Building Regulations, which exclude numerous sources of energy use such as small power. When considered, estimates of small power consumption are often based on historic benchmarks, which fail to capture the significant variability of this end-use, as

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5

COCINA, VALERIA CONCETTA. "Economy of grid-connected photovoltaic systems and comparison of irradiance/electric power predictions vs. experimental results." Doctoral thesis, Politecnico di Torino, 2014. http://hdl.handle.net/11583/2538892.

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This thesis is focused on various aspects concerning the Distributed Generation (DG) from Renewable Energy Sources (RES) and in particular from PhotoVoltaics (PV). The PV generation strongly depends on weather conditions (irradiance and temperature), therefore the solar irradiance forecast is very important for grid-connected PV systems. The PV power injected into the grid is concentrated during sunlight hours, in which the maximum peak load demand occurs and, as a consequence, an impact on the electrical system occurs. The task of the Transmission System Operator (TSO) is to ensure a constant

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6

Herrin, Judith Mitchell. "Clients' Evaluations of Lawyers: Predictions from Procedural Justice Ratings and Interactional Styles of Lawyers." Diss., This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-01292008-112254/.

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7

Alexander, Richard. "Analysis of Aircraft Power Systems, Including System Modeling and Energy Optimization, with Predictions of Future Aircraft Development." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523541008209354.

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8

Soldi, James D. "Arc rate predictions and flight data analysis for the photovoltaic array space power plus diagnostics (PASP Plus) experiment." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11147.

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9

Zastrau, David [Verfasser]. "Estimation of Uncertainty of Wind Energy Predictions : With Application to Weather Routing and Wind Power Generation / David Zastrau." Frankfurt a.M. : Peter Lang GmbH, Internationaler Verlag der Wissenschaften, 2017. http://d-nb.info/1127484524/34.

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10

Lledó, Ponsatí Llorenç. "Climate variability predictions for the wind energy industry: a climate services perspective." Doctoral thesis, Universitat de Barcelona, 2020. http://hdl.handle.net/10803/670882.

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In order to mitigate the climate change effects, the world is undergoing an energy transition from polluting sources towards renewable energies. This transition is turning the electricity system more dependent on atmospheric conditions and more prone to suffer the effects of climate variability. The atmospheric circulation is changing in certain aspects due to increasing concentrations of greenhouse gases in the atmosphere, but it also varies from year to year due to natural variability processes occurring in the Earth system at timescales of weeks, months and years. The atmosphere intera

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11

Fetzek, Charles A. "Behavior-based power management in autonomous mobile robots." Wright-Patterson AFB : Air Force Institute of Technology, 2008. http://handle.dtic.mil/100.2/ADA487084.

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12

Dedes, Nonell Irene. "Stochastic approach to the problem of predictive power in the theoretical modeling of the mean-field." Thesis, Strasbourg, 2017. http://www.theses.fr/2017STRAE017/document.

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Les résultats de notre étude des capacités de modélisation théorique axées sur les approches phénoménologiques nucléaires dans le cadre de la théorie du champ-moyen sont présentés. On s’attend à ce qu’une théorie réaliste soit capable de prédire de manière satisfaisante les résultats des expériences à venir, c’est-à-dire avoir ce qu’on appelle un bon pouvoir prédictif. Pour étudier le pouvoir prédictif d’un modèle théorique, nous avons dû tenir compte non seulement des erreurs des données expérimentales, mais aussi des incertitudes issues des approximations du formalisme théorique et de l’exis

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13

Umbach, Valentin. "The power of prediction." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2014. http://dx.doi.org/10.18452/16873.

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Unsere Fähigkeit Erwartungen auszubilden über zukünftige Ereignisse oder die Ergebnisse unserer eigenen Handlungen ist von entscheidender Bedeutung für zielgerichtetes Verhalten. Obgleich diese Ansicht einer Reihe von einflussreichen theoretischen Strömungen in der kognitiven Psychologie zugrunde liegt, bleiben bislang wichtige Fragen dazu offen. Jüngere Ergebnisse aus neurophysiologischen und Bildgebungsstudien legen nahe, dass bewusste Ziele – ähnlich expliziter Erwartung – nicht mehr sind als ein Nebenprodukt von automatischen und unbewussten Aktivierungsmustern und keinen echten Einfluss a

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14

Huang, Hui. "Lifetime prediction for power converters." Thesis, University of Warwick, 2012. http://wrap.warwick.ac.uk/54844/.

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Renewable energy is developing rapidly and gaining more and more commercial viability. High reliability of the generation system is essential to maximize the output power. The power inverter is an important unit in this system and is believed to be one of the most unreliable parts. In the case of wind power generation, especially in off-shore wind, when the system reliability requirement is high, a technique to predict the inverter lifetime is invaluable as it would help the inverter designer optimize his design for minimal maintenance. Previous researchers studying inverter lifetime predictio

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15

Bielby, Matthew Iain. "Ultra low power cooperative branch prediction." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/14187.

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Branch Prediction is a key task in the operation of a high performance processor. An inaccurate branch predictor results in increased program run-time and a rise in energy consumption. The drive towards processors with limited die-space and tighter energy requirements will continue to intensify over the coming years, as will the shift towards increasingly multicore processors. Both trends make it increasingly important and increasingly difficult to find effective and efficient branch predictor designs. This thesis presents savings in energy and die-space through the use of more efficient coope

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16

Bergsek, Mattias. "THRUST PREDICTION PROGRAM FOR MARINE JET POWER." Thesis, KTH, Marina system, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-77794.

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Marine Jet Power, MJP wishes to investigate the possibility of transforming their current Thrust Prediction Program, TPP written in C++ source code into a more up to date tool for their sales staff. The old TPP, though an accurate and precise tool, is not documented and lacks commentaries in the source code. Therefore the beginning of this master thesis was about documenting and investigates what methods were used to calculate the performance of the water jet system.The next step was splitting the long C++ source code in to smaller functions, this was done using MatLab where several m-files we

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17

Al-Ashwal, Natheer Ali Mohammed. "Power system oscillatory instability and collapse prediction." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/power-system-oscillatory-instability-and-collapse-prediction(18ffc3fa-9b1b-40c6-b614-d757eb641046).html.

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This thesis investigates the capabilities of the Collapse Prediction Relay (CPR-D) and also investigates the use of system identification for detection of oscillatory instability. Both the CPR-D and system identification are based on system measurements and do not require modelling of the power system. Measurement based stability monitors can help to avoid instability and blackouts, in cases where the available system model can not predict instability. The CPR-D uses frequency patterns in voltage oscillation to detect system instability. The relay is based on non-linear dynamics Theory. If a c

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18

Dutta, Bishwajit. "Power Analysis and Prediction for Heterogeneous Computation." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/92870.

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Power, performance, and cost dictate the procurement and operation of high-performance computing (HPC) systems. These systems use graphics processing units (GPUs) for performance boost. In order to identify inexpensive-to-acquire and inexpensive-to-operate systems, it is important to do a systematic comparison of such systems with respect to power, performance and energy characteristics with the end use applications. Additionally, the chosen systems must often achieve performance objectives without exceeding their respective power budgets, a task that is usually borne by a software-based power

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19

Al-Hinai, Amer. "Voltage collapse prediction for interconnected power systems." Morgantown, W. Va. : [West Virginia University Libraries], 2000. http://etd.wvu.edu/templates/showETD.cfm?recnum=1639.

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Thesis (M.S.)--West Virginia University, 2000.<br>Title from document title page. Document formatted into pages; contains xii, 94 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 66-67).

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20

Jingchao, Sun. "Prediction of Sound Propagation From Power Transmission Plant." Thesis, KTH, MWL Marcus Wallenberg Laboratoriet, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-121356.

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In ABB, Soundplan is the usually used software to predict the industrial noise for power transmission plants. However, the sound sources in Soundplan are modeled as point sources between which there are no sound reflections. For the real situation, the sound sources are very big and can be regarded as noise barriers. So it is important to take the reflections between sound sources into consideration.COMSOL Multiphysics is Finite Element Method (FEM) software which can model acoustic object with sound-reflective boundaries. First, the COMSOL model for single component inside the power transmiss

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21

Vlasova, Julija. "Spatio-temporal analysis of wind power prediction errors." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2007. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20070816_142259-79654.

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Nowadays there is no need to convince anyone about the necessity of renewable energy. One of the most promising ways to obtain it is the wind power. Countries like Denmark, Germany or Spain proved that, while professionally managed, it can cover a substantial part of the overall energy demand. One of the main and specific problems related to the wind power management — development of the accurate power prediction models. Nowadays State-Of-Art systems provide predictions for a single wind turbine, wind farm or a group of them. However, the spatio-temporal propagation of the errors is not adequa

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22

Wan, Sunny. "Facility Power Usage Prediction with Artificial Neural Networks." DigitalCommons@CalPoly, 2009. https://digitalcommons.calpoly.edu/theses/135.

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Residential and commercial buildings accounted for about 68% of the total U.S. electricity consumption in 2002. Improving the energy efficiency of buildings can save energy, reduce cost, and protect the global environment. In this research, artificial neural network is employed to model and predict the facility power usage of campus buildings. The prediction is based on the building and the weather conditions such as temperature, humidity, wind speed, etc. Various neural network configurations are discussed; satisfactory computer simulation results are obtained and presented.

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23

Beeravolu, Nagendrakumar. "Predicting Voltage Abnormality Using Power System Dynamics." ScholarWorks@UNO, 2013. http://scholarworks.uno.edu/td/1722.

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The purpose of this dissertation is to analyze dynamic behavior of a stressed power system and to correlate the dynamic responses to a near future system voltage abnormality. It is postulated that the dynamic response of a stressed power system in a short period of time-in seconds-contains sufficient information that will allow prediction of voltage abnormality in future time-in minutes. The PSSE dynamics simulator is used to study the dynamics of the IEEE 39 Bus equivalent test system. To correlate dynamic behavior to system voltage abnormality, this research utilizes two different pattern re

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24

Cutler, Nicholas Jeffrey Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Characterising the uncertainty in potential large rapid changes in wind power generation." Publisher:University of New South Wales. Electrical Engineering & Telecommunications, 2009. http://handle.unsw.edu.au/1959.4/43570.

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Wind energy forecasting can facilitate wind energy integration into a power system. In particular, the management of power system security would benefit from forecast information on plausible large, rapid change in wind power generation. Numerical Weather Prediction (NWP) systems are presently the best available tools for wind energy forecasting for projection times between 3 and 48 hours. In this thesis, the types of weather phenomena that cause large, rapid changes in wind power in southeast Australia are classified using observations from three wind farms. The results show that the majority

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25

Al, Mahmud Shamsul Arefeen. "Wireless Power Transfer : Machine Learning Assisted Characteristics Prediction for Effective Wireless Power Transfer Systems." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-286673.

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One of the main challenges in wireless power transfer (WPT) devices is performance degradation when the receiver’s position and characteristics vary. The variations in the system parameters such as load impedance and coupling strength in WPT devices affect performance characteristics such as output voltage and power. When the system parameters are different from the optimal operating conditions, the performances are degraded. Therefore, the load impedance and coupling strength must be monitored to do the necessary optimization and control. However, such control approaches require additional se

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26

Uurtonen, Tommi. "Optimized Power Control for CDMA System using Channel Prediction." Thesis, Linköping University, Department of Science and Technology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-3697.

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<p>In an optimal power control scheme for a Code Division Multiple Access (CDMA) system all mobile stations signals should arrive to the base station at equal power. If not, stronger singals may cause too much interference and block out weaker ones. Commonly used power control schemes utilizes the Signal to Interference Ratio (SIR) to design a Power Control Command (PCC) to adjust the transmit power of the mobile station. A significant problem within the conventional methods is the slow SIR recovery due to deep channel fades. Conventional methods base the PCC on the previous channel state when

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27

Lepard, Robert F. (Robert Frederick). "Power quality prediction based on determination of supply impedance." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/40171.

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28

Urban, Rodney Gordon. "Power line corona noise prediction from small cage measurement." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/50063.

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Thesis (PhD) -- Stellenbosch University, 2004.<br>Some digitised pages may appear illegible due to the condition of the original hard copy.<br>ENGLISH ABSTRACT: The radio noise (RN) performance of an AC high voltage transmission line is a determining factor when accessing the reliability of the design. The conducted RN level across the terminals of a PLC receiver, used in the teleprotection system of the line, is of particular concern. In this dissertation, existing empirical and semi-analytical RN prediction methods are evaluated by comparing the conducted RN levels of four South African

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29

Zeng, Guang. "Some aspects in lifetime prediction of power semiconductor devices." Universitätsverlag Chemnitz, 2018. https://monarch.qucosa.de/id/qucosa%3A34891.

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Power electronics, which fully covers the generation, conversion, transmission and usage of electrical energy, is a key technology for human welfare. With the development of technologies, the requirements on the reliability of power electronic systems are keep increasing. Long term operation under harsh environments is often accompanied by higher switching frequency and higher power density. To allow a reliable and sustainable performance of the power electronic systems, precise lifetime estimation of the power semiconductor devices is of significant importance. This work covers some aspects i

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30

Earl, David James. "Predictions of helical twisting powers and molecular chirality." Thesis, Durham University, 2003. http://etheses.dur.ac.uk/4043/.

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When chiral molecules are added to an achiral nematic liquid crystalline solvent, they can transmit their molecular chirality to the whole system over distances many times their molecular length. The helical twisting power, βm, is a measure of the degree of twist a chiral molecule can induce in a nematic liquid crystal. The work in this thesis is primarily concerned with calculating helical twisting powers for a variety of chiral molecules using computational and theoretical methods. The first technique used to calculate βm employed Monte Carlo simulations of an atomistic chiral dopant molecul

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31

Wong, Yuen-wah, and 黃婉華. "Performance prediction model for a solar water pump." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31223722.

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32

Wong, Yuen-wah. "Performance prediction model for a solar water pump /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21607424.

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33

Sayler, Kent Alexander Halpin S. Mark. "Predicting generator coupling using power system impedance matrices." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Spring/master's/SAYLER_KENT_33.pdf.

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34

Sarkar, Avranil. "Power Prediction in Large Scale Multiple Testing: A Fourier Approach." Research Showcase @ CMU, 2010. http://repository.cmu.edu/dissertations/2.

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A problem that is frequently found in large-scale multiple testing is that, in the present stage of experiment (e.g. gene microarray, functional MRI), the signals are so faint that it is impossible to attain a desired level of testing power, and one has to enroll more samples in the follow-up experiment. Suppose we are going to enlarge the sample size by a times in the follow-up experiment, where a > 1 is not necessary an integer. A problem of great interest is, given data based on the current stage of experiment, how to predict the testing power after the sample size is enlarged by a times. W

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35

Moody, Robert D. "Preliminary power prediction during early design stages of a ship." Thesis, Cape Technikon, 1996. http://hdl.handle.net/20.500.11838/1261.

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Thesis (Masters Diploma (Mechanical Engineering)) -- Cape Technikon, Cape Town,1996<br>A need exists whereby the preliminary power requirement of a ship can be rapidly estimated. Because the majority of methods available for this purpose are manual and consist of a number of independent components, they are tedious and time consuming to use. With the advent of the personal computer and its widespread acceptance, it was logical to examine the various components involved to determine their suitability for computerisation and general accuracy. In total eleven hull resistance prediction metho

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36

Allenspach, Mark 1967. "Prediction and hardening techniques for SEGR in power MOSFET devices." Diss., The University of Arizona, 1997. http://hdl.handle.net/10150/282345.

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Single Event Gate Rupture (SEGR) induced by an energetic ion traversing a MOSFET may cause catastrophic failure of the device. The mechanism for SEGR in a power MOSFET structure is investigated in this work. A simple analytical prediction method is introduced. This prediction method allows evaluation of device SEGR sensitivity through 2-D computer simulations and therefore avoids the need for time consuming and costly experiments on an ion accelerator. A thorough investigation of SEGR sensitivity dependence is shown for a variety of influencing factors such as (i) device parametric variations,

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37

Yang, Xianzhen. "Power Spectrum Prediction of Amplified Dual-Band LTE-Advanced Signals." PDXScholar, 2018. https://pdxscholar.library.pdx.edu/open_access_etds/4351.

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In wireless communication, the nonlinearity of a radio frequency (RF) power amplifier is an important issue for power amplifier designers. Since the nonlinearity is generated by the properties of physical components, it is hard to avoid it in producing power amplifiers. Power amplifier designers should know about the nonlinearity in order to compensate for it. A two-tone test is a relatively widely used method to measure the nonlinearity of a power amplifier, which means the third order intercept point (IP3) can be measured from the two-tone test. Through the two-tone test, researchers have pr

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38

James, Peter Andrew. "Health monitoring of IGBTs in automotive power converter systems." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/health-monitoring-of-igbts-in-automotive-power-converter-systems(224a6b3c-a1f0-4379-9ff7-eb5603f8deb9).html.

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The use of IGBT power modules in the automotive industry is becoming increasingly common as manufacturers develop more hybrid and all electric vehicles. In an industry such as this, the reliability of a component is critical and vehicle manufacturers have conducted much research into diagnostic and prognostic systems for internal combustion engines that run in real time on the vehicle to determine when components will fail. Power electronic components do not have similar prognostics available. The traditional use of power electronic modules has been in applications where their life or duty cyc

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39

Raoofsheibani, Davood [Verfasser]. "Online Power System Security Analysis and State Prediction : Enhanced Power System Models and Tools / Davood Raoofsheibani." Düren : Shaker, 2021. http://d-nb.info/1240853947/34.

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Li, Qian. "Correlation between Simulation and Measurement of Microwave Resonator Power Handling." Thesis, Linköpings universitet, Fysik och elektroteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-101981.

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In modern mobile wireless communication, Base Stations (BS) are the most important equipment to build up the mobile network. One of the key elements in BS is the RF filter, which plays a key role to secure the coverage and reliability of the BS. Especially, at Transmitter (Tx) side, the filter must have a high capability to handle the power sent from Power Amplifier (PA) to antenna in any circumstances to ensure the coverage demand. Otherwise, the breakdown will be encountered, setting the power flow in the BS system in an abnormal manner that, finally can lead to the shut down of BS or destro

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Austin, Richard Arthur. "The development of a multi-tide tidal energy prediction model and its application to the proposed Mersey Barrage." Thesis, University of Salford, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.280754.

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Li, Gang. "A study of value-at-risk models and their prediction power." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B32029718.

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Szerszen, Lukas, and Mosulet Paul-Philip. "Subject-Independent Epileptic Seizure Prediction using Spectral Power and Correlation Coefficients." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208684.

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Epileptic seizure prediction algorithms with prediction rates above random have been produced, with varying success, during the last ten to twenty years. The algorithms produced have been tailored to the specific characteristics of a subject’s epilepsy, referred to as subject-specific prediction algorithms. Such customization entails the training of the algorithm’s classifier on the specific EEG-data pertaining to the subject. An inherent requirement is the time-intensive task of recording and labeling the subjects EEG, which will be used for the training of the classifier. As such, this thesi

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44

Li, Gang, and 李剛. "A study of value-at-risk models and their prediction power." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B32029718.

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45

Koh, Yong-Khiang. "Prediction and control of vibrational power transmission between coupled structural systems." Thesis, University of Southampton, 1992. https://eprints.soton.ac.uk/428197/.

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46

Uchaipichat, Nopadol. "The prediction of defibrillation outcome using time-frequency power spectrum methods." Thesis, Edinburgh Napier University, 2005. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418238.

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47

Lange, Matthias [Verfasser]. "Analysis of the uncertainty of wind power predictions / Matthias Lange." 2003. http://d-nb.info/969985789/34.

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48

Aydogan, Fatih. "Development of uncertainty methodology for cobra-tf void distribution and critical power predictions." 2008. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-2503/index.html.

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49

Zhang, Xiaozhu. "Dynamic Responses of Networks under Perturbations: Solutions, Patterns and Predictions." Doctoral thesis, 2018. http://hdl.handle.net/11858/00-1735-0000-002E-E409-2.

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Hering, Amanda S. "Space-time forecasting and evaluation of wind speed with statistical tests for comparing accuracy of spatial predictions." 2009. http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-910.

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High-quality short-term forecasts of wind speed are vital to making wind power a more reliable energy source. Gneiting et al. (2006) have introduced a model for the average wind speed two hours ahead based on both spatial and temporal information. The forecasts produced by this model are accurate, and subject to accuracy, the predictive distribution is sharp, i.e., highly concentrated around its center. However, this model is split into nonunique regimes based on the wind direction at an off-site location. This work both generalizes and improves upon this model by treating wind direction as a

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