Relevant bibliographies by topics / Energy path

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Energy path'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Energy path"

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Liu, Jianguo, Zhentao An, Qian Zhang, and Chaoyang Wang. "Thermal Decomposition of Hydroxylamine Nitrate Studied by Differential Scanning Calorimetry Analysis and Density Functional Theory Calculations." Progress in Reaction Kinetics and Mechanism 42, no. 4 (December 2017): 334–43. http://dx.doi.org/10.3184/146867817x14954764850351.

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The thermal stability and kinetics of hydroxylamine nitrate (HAN) decomposition were studied by differential scanning calorimetry (DSC) and the thermal decomposition reaction mechanism was determined by density functional theory (DFT). With the help of parameter values from the non-isothermal DSC curves of HAN, the thermal decomposition activation energy and pre-exponential constant were obtained by the Kissinger and Ozawa methods. Then, the most probable mechanism function was calculated by the Šatava–Šesták method. Seven different paths for the thermal decomposition mechanism of HAN were formulated and DFT at the B3LYP/6-311++G(d,p) level was used to carry out the dynamics analysis. The calculated results show that the values of the activation energy calculated by the Kissinger and Ozawa methods are 67.892 and 70.412 kJ mol−1 respectively. The most probable mechanism function calculated by the Šatava–Šesták method is [Formula: see text]. The path being favoured energetically in the dynamics is in the order: Path6 > Path5 > Path4 > Path1 > Path2 > Path7 > Path3.
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Yan, Han, and Pei Wang. "Adsorption and Diffusion of Aluminum, Gallium and Indium Atoms on Semi-Polar Gallium Nitride Substrate Surface: A First Principle Simulation." Advanced Materials Research 1015 (August 2014): 598–601. http://dx.doi.org/10.4028/www.scientific.net/amr.1015.598.

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The first principles simulations are performed to investigate the adsorption and diffusion of aluminum, gallium and indium atoms on semi-polar gallium nitrides surface, the calculations are performed by using the Car–Parrinello molecular dynamics (CPMD) method. The aluminum ad-atoms adsorption in path 1 and path 3 are much stable than in path 2. The maximum adsorption energy of path1, path2 and path3 are different, which reveal that a different barrier energy pathway between indium ad-atom diffuse along path 1, path2 and path3. Our calculation results reveal that diffusion barriers of aluminum, gallium and indium atoms on semi-polar gallium nitride surface are anisotropy.
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Yamamoto, Hiromi, and Kenji Yamaji. "Sustainable energy path." Thermal Science 9, no. 3 (2005): 7–14. http://dx.doi.org/10.2298/tsci0503007y.

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The uses of fossil fuels cause not only the resources exhaustion but also the environmental problems such as global warming. The purposes of this study are to evaluate paths to ward sustainable energy systems and roles of each renewable. In order to realize the purposes, the authors developed the global land use and energy model that figured the global energy supply systems in the future considering the cost minimization. Using the model the authors conducted a simulation in C30R scenario, which is a kind of strict CO2 emission limit scenarios and reduced CO2 emissions by 30% compared with Kyoto protocol forever scenario, and obtained the following results. In C30R scenario bio energy will supply 33% of all the primary energy consumption. How ever, wind and photo voltaic will supply 1.8% and 1.4% of all the primary energy consumption, respectively, because of the limits of power grid stability. The results imply that the strict limits of CO2 emissions are not sufficient to achieve the complete renewable energy systems. In order to use wind and photo voltaic as major energy resources we need not only to reduce the plant costs but also to develop unconventional renewable technologies. .
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Ilić, Aleksandar, and Milan Bašić. "Path matrix and path energy of graphs." Applied Mathematics and Computation 355 (August 2019): 537–41. http://dx.doi.org/10.1016/j.amc.2019.03.002.

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Yan, Xiaoqing, Xinting Huang, and Shengyu Wu. "Energy Revolution Path Based on Main Functional Region Planning." Journal of Clean Energy Technologies 5, no. 3 (May 2017): 263–67. http://dx.doi.org/10.18178/jocet.2017.5.3.380.

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Cline, David, Justin Talbot, and Parris Egbert. "Energy redistribution path tracing." ACM Transactions on Graphics 24, no. 3 (July 2005): 1186–95. http://dx.doi.org/10.1145/1073204.1073330.

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Yokozuka, Masashi, and Osamu Matsumoto. "A Reasonable Path Planning via Path Energy Minimization." Journal of Robotics and Mechatronics 26, no. 2 (April 20, 2014): 236–44. http://dx.doi.org/10.20965/jrm.2014.p0236.

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This paper presents a path planning method by path energy minimizing that enables mobile robots to move smoothly in the real world with optimizing path shape for shortest distance or minimum curvature. It also enables robots to travel safely toward a destination because pedestrian motion prediction is embedded in path planning. This path planning method is based on problems experienced in a robot competition called Tsukuba Challenge. The problems involved nonsmooth motion arising from finite path patterns in A* algorithm, stuck motion arising from frequently path switching, and near misses arising from nonpredictive planning. Our path planning method minimizes pathshape energy defined as the connection between path points. Minimizing energy provides smooth paths and avoids path switching. We propose a path planning method with prediction of dynamic obstacle motion embedded to avoid near misses. Experimental results showed improvements in solving these problems.
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Chu, Steven, Yi Cui, and Nian Liu. "The path towards sustainable energy." Nature Materials 16, no. 1 (December 20, 2016): 16–22. http://dx.doi.org/10.1038/nmat4834.

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Steffes, Dale. "The Energy Path not Taken." Strategic Planning for Energy and the Environment 24, no. 2 (October 2004): 55–61. http://dx.doi.org/10.1080/10485230409509661.

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Maddox, John. "Energy levels by path integration." Nature 358, no. 6389 (August 1992): 707. http://dx.doi.org/10.1038/358707a0.

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Dissertations / Theses on the topic "Energy path"

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Chen, Danjie. "Minimum energy path planning for ad hoc networks." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33706.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (p. 85-86).
We introduce the problem of finding a path for a mobile node traveling from a source to a destination while communicating with at least one node from a set of stationary nodes in such a way that minimizes the transmission energy used in communication. We characterize this problem and introduce two algorithms. The first is a recursive algorithm useful for problems with one communication node. We show the limitations of this algorithm and how it can find suboptimal paths. The second algorithm, the discretized graph algorithm, can be applied to problems with more communication nodes. We find parameters that allow energy efficient paths to be found in suitable time. We demonstrate the applicability of the minimum energy path planning problem and how the discretized graph algorithm can be used in a more general context through an example.
by Danjie Chen.
M.Eng.
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Ogunniyi, Samuel. "Energy efficient path planning: the effectiveness of Q-learning algorithm in saving energy." Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/13308.

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In this thesis the author investigated the use of a Q-learning based path planning algorithm to investigate how effective it is in saving energy. It is important to pursue any means to save energy in this day and age, due to the excessive exploitation of natural resources and in order to prevent drops in production in industrial environments where less downtime is necessary or other applications where a mobile robot running out of energy can be costly or even disastrous, such as search and rescue operations or dangerous environment navigation. The study was undertaken by implementing a Q-learning based path planning algorithm in several unstructured and unknown environments. A cell decomposition method was used to generate the search space representation of the environments, within which the algorithm operated. The results show that the Q-learning path planner paths on average consumed 3.04% less energy than the A* path planning algorithm, in a square 20% obstacle density environment. The Q-learning path planner consumed on average 5.79% more energy than the least energy paths for the same environment. In the case of rectangular environments, the Q-learning path planning algorithm uses 1.68% less energy, than the A* path algorithm and 3.26 % more energy than the least energy paths. The implication of this study is to highlight the need for the use of learning algorithm in attempting to solve problems whose existing solutions are not learning based, in order to obtain better solutions.
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Liu, Lu. "Pricing energy path-dependent option using tree based approach." Thesis, Imperial College London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.512006.

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Doshi, Manan(Manan Mukesh). "Energy-time optimal path planning in strong dynamic flows." Thesis, Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/130905.

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Thesis: S.M., Massachusetts Institute of Technology, Center for Computational Science & Engineering, February, 2021
Cataloged from the official PDF version of thesis.
Includes bibliographical references (pages 55-61).
We develop an exact partial differential equation-based methodology that predicts time-energy optimal paths for autonomous vehicles navigating in dynamic environments. The differential equations solve the multi-objective optimization problem of navigating a vehicle autonomously in a dynamic flow field to any destination with the goal of minimizing travel time and energy use. Based on Hamilton-Jacobi theory for reachability and the level set method, the methodology computes the exact Pareto optimal solutions to the multi-objective path planning problem, numerically solving the equations governing time-energy reachability fronts and optimal paths. Our approach is applicable to path planning in various scenarios, however we primarily present examples of navigating in dynamic marine environments. First, we validate the methodology through a benchmark case of crossing a steady front (a highway flow) for which we compare our results to semi-analytical optimal path solutions. We then consider more complex unsteady environments and solve for time-energy optimal missions in a quasi-geostrophic double-gyre ocean flow field.
by Manan Doshi.
S.M.
S.M. Massachusetts Institute of Technology, Center for Computational Science & Engineering
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Kaya, Ferhat, and Rezhin Kader. "Overcoming Lock-In and Path Dependency : Hydrogen Energy Transitions." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296557.

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Through the historic usage of fossil fuel, climate impacts have been severe and threaten to disrupt global economies and biological diversity. Hydrogen has emerged as a technology which can enable the productionand storage of renewable energy with no carbon emissions. However, energy transitions are complex as the sector is characterized by lock-in and path dependency due to co-evolution with infrastructure, policy and geography. The purpose of this study is to explore how hydrogen energy can overcome the lock-in and path dependency of fossil fuels. To achieve this, a qualitative single-case study of Sweden was conducted. The theoretical foundation consists of the Multi-Level Perspective and lock-in. The results indicate that in order for hydrogen technology to become large-scale and overcome lock-in, four criteria need to be fulfilled; hydrogen technology needs to be more cost-efficient, investments in infrastructure for hydrogen is required, a market needs to be established for the production of hydrogen and governments/institutions need to support hydrogen through regulation and investments.
Under decennier av fossil användning har klimatpåverkan blivit mer allvarlig och hotar att negativt påverka globala ekonomier och den biologiska mångfalden. Vätgas har framkommit som en teknik som möjliggör produktion och lagring av förnybar energi utan koldioxidutsläpp. Övergångar till nya energilösningar är dock svåra eftersom sektorn kännetecknas av “lock-in” och “path dependency”på grund av samutveckling med infrastruktur, politik och geografi. Syftet med denna studie är att undersöka hur vätgas kan övervinna “lock-in” och “path dependency” av fossila bränslen. För att uppnå detta genomfördes en kvalitativ fallstudie av Sverige. Den teoretiska grunden för studien består av Multi-Level Perspective och lock-in. Resultaten visar att fyra kriterier måste uppfyllas för att vätgas ska gå från en nisch innovation till att vara en del av dagens sociotekniska system. Vätgas måste bli mer kostnadseffektiv, investeringar i infrastruktur för vätgas krävs, en marknad måste skapas för produktion av vätgas och regeringar/institutioner behöver stödja vätgas genom föreskrifter.
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Voyevoda, Andriy. "The european energy union : an inevitable path or an everlasting chimera?" Master's thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/20712.

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Mestrado em Economia Internacional e Estudos Europeus
A integração gradual na Europa tem sido um lento mas constante processo, um processo que permitiu à União Europeia (UE) prosseguir iniciativas comuns nas esferas política e económica. Estas iniciativas permitiram o estabelecimento de um mercado comum de bens e serviços, uma união monetária, instituições políticas comuns, posições comuns em termos de política externa, entre outros aspetos que reforçaram a natureza sui generis da União Europeia enquanto organização supranacional . Apesar de um relativo sucesso nestas várias dimensões, o projeto europeu carece, ainda, de uma estratégia comum para a energia, o que é uma enorme desvantagem tendo em conta que a UE é altamente dependente de importações de combustíveis fósseis para satisfazer o seu crescimento económico. Com grande potencial para uma política comum no futuro, a agenda energética europeia não evoluiu ainda para o mesmo nível de integração que as políticas económicas e monetária, por exemplo. Deste modo, a presente dissertação focar-se-á na formulação da União da Energia Europeia, procurando analisar as diversas iniciativas adotadas pela UE para a concretização de uma estratégia energética comum.
The gradual integration in Europe has been a slow but steady process, a process that allowed the European Union (EU) to pursue common policies within the economic and political spheres. Such policies led to the establishment of a single market for goods and services, a monetary union, common political institutions, common standpoints in terms of foreign policy, and other shared aspects that added to the sui generis nature of the European Union as a supranational organization. Despite this relative success within a variety of policy dimensions, the European project still lacks a common strategy for energy, which is a huge liability given the fact that the Union, as a whole, is highly dependent on fossil fuels imports to satisfy its energy-hungry economic growth. With great potential for a future common stance, the European energy agenda has not yet evolved to the same integration level as the economic and monetary policies have, for instance. As such, the present dissertation focuses on the formation of the European Energy Union, seeking to analyze the several strategies partaken by the EU in order to complete a common energy strategy.
info:eu-repo/semantics/publishedVersion
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Pinar, Erdem Emre. "Energy Optimal Path Planning Of An Unmanned Solar Powered Aircraft." Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615385/index.pdf.

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In this thesis, energy optimal route of an unmanned solar powered air vehicle is obtained for the given mission constraints in order to sustain the maximum energy balance. The mission scenario and the constraints of the solar powered UAV are defined. Equations of motion are obtained for the UAV with respect to the chosen structural properties and aerodynamic parameters to achieve the given mission. Energy income and loss equations that state the energy balance, up to the position of the UAV inside the atmosphere are defined. The mathematical model and the cost function are defined according to the mission constraints, flight mechanics and energy balance equations to obtain the energy optimal path of the UAV. An available optimal control technique is chosen up to the mathematical model and the cost function in order to make the optimization. Energy optimal path of the UAV is presented with the other useful results. Optimal route and the other results are criticized by checking them with the critical positions of the sun rays.
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Najafi, Mike. "Practical path to net-zero homes." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41121.

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As demand for energy is skyrocketing around the globe, environmental challenges are becoming more severe than ever before. Carbon dioxide, methane gas and other greenhouse gases are rapidly contributing to global warming and ozone depletion phenomenon. Buildings are among major contributors of greenhouse gases. They are consuming more than 40% of total energy and three quarter of the total electricity in the United States. It is to some distance the responsibility of building design professionals to address the impacts of their practice on the environment by reducing the energy consumption and carbon emission of their projects. This thesis aims to create a practical design guideline to help architects design energy-neutral homes in North America. The study's primary emphasis is on reducing building energy demand by implementing core principles of building physics into the design process throughout a case study project. What makes this process unique compared to other existing green design programs is its focus on architect's knowledge to implement core energy saving design strategies into design and evaluate their performance with a normative simulation tool. Selection and analysis of building systems, financial evaluation of cost effective systems and materials, uncertainty analysis of building systems, construction cost estimating and marketing analysis of the case study project, demonstrate simple strategies for designers to use in projects with higher sensitivity. In conclusion, the idea behind this methodology is building marketable energy-neutral homes in the current market with existing materials and none-complex technologies. The success of this design method is depends on the knowledge and skills of architects in building science, architectural design, and building construction. Despite barriers and many uncertainties embedded in this process, moving toward energy-neutral homes will have positive impacts on environment even if it could not reach the Net-Zero balance.
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Narayanan, Subramani Deepak. "Energy optimal path planning using stochastic dynamically orthogonal level set equations." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/95564.

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Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 93-100).
The growing use of autonomous underwater vehicles and underwater gliders for a variety of applications gives rise to new requirements in the operation of these vehicles. One such important requirement is optimization of energy required for undertaking missions that will enable longer endurance and lower operational costs. Our goal in this thesis is to develop a computationally efficient, and rigorous methodology that can predict energy-optimal paths from among all time-optimal paths to complete an underwater mission. For this, we develop rigorous a new stochastic Dynamically Orthogonal Level Set optimization methodology. In our thesis, after a review of existing path planning methodologies with a focus on energy optimality, we present the background of time-optimal path planning using the level set method. We then lay out the questions that inspired the present thesis, provide the goal of the current work and explain an extension of the time-optimal path planning methodology to the time-optimal path planning in the case of variable nominal engine thrust. We then proceed to state the problem statement formally. Thereafter, we develop the new methodology for solving the optimization problem through stochastic optimization and derive new Dynamically Orthogonal Level Set Field equations. We then carefully present different approaches to handle the non-polynomial non-linearity in the stochastic Level Set Hamilton-Jacobi equations and also discuss the computational efficiency of the algorithm. We then illustrate the inner-workings and nuances of our new stochastic DO level set energy optimal path planning algorithm through two simple, yet important, canonical steady flows that simulate a stead front and a steady eddy. We formulate a double energy-time minimization to obtain a semi-analytical energy optimal path for the steady front crossing test case and compare the results to these of our stochastic DO level set scheme. We then apply our methodology to an idealized ocean simulation using Double Gyre flows, and finally show an application with real ocean data for completing a mission in the Middle Atlantic Bight and New Jersey Shelf/Hudson Canyon region.
by Deepak Narayanan Subramani.
S.M.
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Oshaug, Christian A. J. "Lévy Processes and Path Integral Methods with Applications in the Energy Markets." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for fysikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13730.

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The objective of this thesis was to explore methods for valuation of derivatives in energy markets. One aim was to determine whether the Normal inverse Gaussian distributions would be better suited for modelling energy prices than normal distributions. Another aim was to develop working implementations of Path Integral methods for valuing derivatives, based on some one-factor model of the underlying spot price. Energy prices are known to display properties like mean-reversion, periodicity, volatility clustering and extreme jumps. Periodicity and trend are modelled as a deterministic function of time, while mean-reversion effects are modelled with auto-regressive dynamics. It is established that the Normal inverse Gaussian distributions are superior to the normal distributions for modelling the residuals of an auto-regressive energy price model. Volatility clustering and spike behaviour are not reproduced with the models considered here. After calibrating a model to fit real energy data, valuation of derivatives is achieved by propagating probability densities forward in time, applying the Path Integral methodology. It is shown how this can be implemented for European options and barrier options, under the assumptions of a deterministic mean function, mean-reversion dynamics and Normal inverse Gaussian distributed residuals. The Path Integral methods developed compares favourably to Monte Carlo simulations in terms of execution time. The derivative values obtained by Path Integrals are sometimes outside of the Monte Carlo confidence intervals, and the relative error may thus be too large for practical applications. Improvements of the implementations, with a view to minimizing errors, can be subject to further research.
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Books on the topic "Energy path"

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The oil sands: Canada's path to clean energy? [Calgary]: Kingsley Pub., 2009.

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Jane, Nakano, and Center for Strategic and International Studies (Washington, D.C.). Energy and National Security Program, eds. China--leader or laggard on the path to a secure, low-carbon energy future? Washington, DC: Center for Strategic and International Studies, 2011.

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Adam. The Path of the DreamHealer. New York: Penguin Group USA, Inc., 2008.

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Jenkins, Jerry. Climate change in the Adirondacks: The path to sustainability. Ithaca: Comstock Pub. Associates, 2010.

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Wildlife Conservation Society (New York, N.Y.), ed. Climate change in the Adirondacks: The path to sustainability. Ithaca: Comstock Pub. Associates, 2010.

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Adam. The path of the dreamhealer: The quantum world of energy healing. Toronto: Penguin Canada, 2007.

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The path of the dreamhealer: The quantum world of energy healing. Toronto: Viking Canada, 2006.

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Programme, United Nations Development, ed. Energy in the Western Balkans: The path to reform and reconstruction. Paris: OECD, 2008.

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Prefabulous + almost off the grid: Your prefabulous path to building an energy-independent home. New York: Abrams, 2012.

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Gaba, Kwawu Mensan. Energy intensive sectors of the Indian economy: Path to low carbon development. Washington: International Bank for Reconstruction and Development, World Bank, 2011.

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Book chapters on the topic "Energy path"

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Max, Michael D., Arthur H. Johnson, and William P. Dillon. "Path to NGH Commercialization." In SpringerBriefs in Energy, 47–53. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02508-7_6.

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Harr, Michael, Dieter Bonnet, and Karl-Heinz Fischer. "On the Path towards Power-Grid Parity." In Renewable Energy, 56–59. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2013. http://dx.doi.org/10.1002/9783527671342.ch8.

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Petit, Vincent. "The Path Towards a Sustainable Tomorrow." In The Energy Transition, 125–68. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50292-2_5.

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Fechner, Uwe, and Roland Schmehl. "Flight Path Planning in a Turbulent Wind Environment." In Airborne Wind Energy, 361–90. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-1947-0_15.

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Hehl, Friedrich W., Alfredo Macías, Eckehard W. Mielke, and Yuri N. Obukhov. "On the Structure of the Energy-Momentum and the Spin Currents in Dirac’s Electron Theory." In On Einstein’s Path, 257–74. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1422-9_18.

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He, Jijiang, Yu Wang, and Wenying Chen. "Energy Transition Driven by the Energy Internet." In Research Series on the Chinese Dream and China’s Development Path, 77–89. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9660-1_8.

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Fernandes, Manuel C. R. M., Luís Tiago Paiva, and Fernando A. C. C. Fontes. "Optimal Path and Path-Following Control in Airborne Wind Energy Systems." In Computational Methods in Applied Sciences, 409–21. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57422-2_26.

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Das, Kausik S. "Microbial Fuel Cells: A Path to Green, Renewable Energy." In Green Energy and Technology, 195–206. New Delhi: Springer India, 2020. http://dx.doi.org/10.1007/978-81-322-3965-9_9.

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Zhu, Tong, and Lei Wang. "Direction and Path of China’s Energy Transformation." In The Great Transformation of China, 337–78. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9499-8_8.

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Yanping, Xue. "The Global Energy Governance Structure and China-Europe Energy Relations." In Research Series on the Chinese Dream and China’s Development Path, 155–65. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1145-0_8.

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Conference papers on the topic "Energy path"

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Cline, David, Justin Talbot, and Parris Egbert. "Energy redistribution path tracing." In ACM SIGGRAPH 2005 Papers. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1186822.1073330.

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Chong Wang, Vijay Vittal, Sharma Kolluri, and Sujit Mandal. "PTDF-based automatic restoration path selection." In Energy Society General Meeting. IEEE, 2010. http://dx.doi.org/10.1109/pes.2010.5589478.

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Kim, Soon-Ho, and Chi-Su Kim. "Path Finding in the sLa-Camera-pLb Path." In Circuits, Control, Communication, Electricity, Electronics, Energy, System, Signal and Simulation 2016. Science & Engineering Research Support soCiety, 2016. http://dx.doi.org/10.14257/astl.2016.135.25.

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Aznavi, Sima, Poria Fajri, Arash Asrari, and Reza Sabzehgar. "Energy Management of Multi-Energy Storage Systems Using Energy Path Decomposition." In 2019 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE, 2019. http://dx.doi.org/10.1109/ecce.2019.8912826.

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Vyas, Pratik, Mithilesh Tipkari, and Shivika Pathania. "Energy efficient path selection in MANET." In 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). IEEE, 2017. http://dx.doi.org/10.1109/icicict1.2017.8342525.

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Knauf, Jakob, and Thomas Gollinger. "Path Dependencies in the Energy System." In 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC). IEEE, 2018. http://dx.doi.org/10.1109/ice.2018.8436322.

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Mishra, Deepak, K. Kaushik, Swades De, Stefano Basagni, Kaushik Chowdhury, Soumya Jana, and Wendi Heinzelman. "Implementation of multi-path energy routing." In 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2014. http://dx.doi.org/10.1109/pimrc.2014.7136468.

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Li, Yan, Shashi Shekhar, Pengyue Wang, and William Northrop. "Physics-guided energy-efficient path selection." In SIGSPATIAL '18: 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3274895.3274933.

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Lee, Lae Yeop, and Seong Gon Choi. "Energy Loss Minimization Modelling for Given Energy Path in Vehicular Energy Network." In 2021 23rd International Conference on Advanced Communication Technology (ICACT). IEEE, 2021. http://dx.doi.org/10.23919/icact51234.2021.9370454.

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Quintas, D., and V. Friderikos. "Energy Efficient Relaying within a Cell: Multi Path versus Shortest Path Routing." In IEEE INFOCOM 2010 - IEEE Conference on Computer Communications Workshops. IEEE, 2010. http://dx.doi.org/10.1109/infcomw.2010.5466653.

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Reports on the topic "Energy path"

1

Furth, H. P. Path toward fusion energy. Office of Scientific and Technical Information (OSTI), August 1985. http://dx.doi.org/10.2172/5216447.

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Hooper, E. B. ,. Barnes, C. W. ,. Bellan, P. M. ,. The Spheromak path to fusion energy. Office of Scientific and Technical Information (OSTI), April 1998. http://dx.doi.org/10.2172/304511.

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Meng, Kyle. Estimating Path Dependence in Energy Transitions. Cambridge, MA: National Bureau of Economic Research, August 2016. http://dx.doi.org/10.3386/w22536.

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Kelley, Michael J., Grigory Eremeev, and Charles E. Reece. Materials path toward improved energy efficiency for High Energy Physics accelerators. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1467442.

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Author, Not Given. Energy Resource Center: Chart a Path to Continuous Energy Improvement (Postcard). Office of Scientific and Technical Information (OSTI), May 2012. http://dx.doi.org/10.2172/1044440.

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Robert J. Goldston. A Pilot Plant: The Fastest Path to Commercial Fusion Energy. Office of Scientific and Technical Information (OSTI), March 2010. http://dx.doi.org/10.2172/973205.

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Taylor, Margaret, and K. Sydny Fujita. The Path to Savings: Understanding the Federal Purchase of Energy-Consuming Products. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1172961.

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Hooper, E. B. The Path to Fusion Energy for Concepts Currently at the Concept Exploration Level. Office of Scientific and Technical Information (OSTI), January 2003. http://dx.doi.org/10.2172/15002742.

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Parrish, Kristen. A Path to Successful Energy Retrofits: Early Collaboration through Integrated Project Delivery Teams. Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1169479.

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Apruzese, J. P., J. D. Sethian, J. L. Giuliani, and M. F. Wolford. Ar-Xe Laser: The Path to a Robust, All-Electric Shipboard Directed Energy Weapon. Fort Belvoir, VA: Defense Technical Information Center, December 2008. http://dx.doi.org/10.21236/ada491950.

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