Relevant bibliographies by topics / Energy indices

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

Academic literature on the topic 'Energy indices'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Energy indices"

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Park, Ho Young, Hyeon-Soo Im, Eui Hwan Kim, Young Ju Kim, Kyung Soo Kim, and Jeong Eun Lee. "Advanced slagging propensity of coal and its assessment with the conventional indices." Journal of Energy Engineering 21, no. 4 (December 31, 2012): 427–34. http://dx.doi.org/10.5855/energy.2012.21.4.427.

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Puglia, Virgilio. "Energy indices for environmental sustainability." International Journal of Technology Marketing 8, no. 1 (2013): 44. http://dx.doi.org/10.1504/ijtmkt.2013.051952.

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Katic, Andrea, Ilija Cosic, Aleksandar Kupusinac, Marko Vasiljevic, and Ivan Stojic. "Knowledge-based competitiveness indices and its connection with energy indices." Thermal Science 20, suppl. 2 (2016): 451–61. http://dx.doi.org/10.2298/tsci151005029k.

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Knowledge-based economy has become a major trend in international society in the 21st century. However, today?s strategies place a greater emphasis on sustainability than in the past, while continuing to emphasize the importance of education and its connection with labour market. There has been a re-orientation, where resource, eco-efficiency and innovation have become major elements for achieving national objectives and a relevant level of competitiveness. This article deals with 30 indices, which define the competitiveness of a specific economy, and involve knowledge parameters. They are classified into four main categories and one special category. They are then analysed regarding the participation of Serbia and their availability. The main focus of this paper is to give detailed analyses of energy indices, as a special category of knowledge indexes. It has been shown that Serbia, in many cases, was not included in the study analysis or that there was insufficient information about Serbia?s position. This article shows that only a part of the presented indices includes Serbia. It is concluded that a new, revised model is needed that will include more exact indicators.
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Jang, Yong-Chul, Ki-Yual Bang, Kwan-Young Lee, and Kyung Nam Kim. "Analysis of energy security by the diversity indices: A case study of South Korea." Journal of Energy Engineering 23, no. 2 (June 30, 2014): 93–101. http://dx.doi.org/10.5855/energy.2014.23.2.093.

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Masasuke Takashima* and Haruo Hayashi**. "Monitoring Recovery Using Energy Consumption Indices." Journal of Disaster Research 2, no. 6 (December 1, 2007): 445–52. http://dx.doi.org/10.20965/jdr.2007.p0445.

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A methodology to monitor the socio-economic impact due to a catastrophic event in high spatial resolution, high frequency, and in homogenous manner within the entire affected area is indispensable to maintain an up-to-date overall picture of the event in disaster response/recovery operations. Energy consumption of the affected area is a promising index for long-term recovery monitoring. The energy consumption of an urbanized area strongly correlates with its socioeconomic activity. When an area is urbanized and developed, more energy is required to maintain it. Once a catastrophic event interrupts these activities, energy consumption of the area decreases. We have been studying ways to monitor long-term recovery using electric power supply data and the night time city light imagery data provided by the Defense Meteorological Satellite Program as indices of energy consumption. In this paper, we introduce these methodologies and their application to recovery process monitoring after the Kobe earthquake in Japan and Hurricane Katrina in the U.S. The impact and following recovery process of those two catastrophic events were clearly depicted. These examples have shown both methodologies to be promising in monitoring the spaciotemporal distribution of impact due to events independent of the type of hazard. Recovery monitoring methodologies introduced in this paper provide a way to determine overall trends in recovery of affected areas macroscopically. For concrete policy making and support, a more detailed view is also needed to evaluate recovery conditions of different social and economic sectors and individual households and businesses. Both macroscopic and microscopic viewpoints are needed to appropriate response and recovery operations.
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Rezec, Michael, and Bert Scholtens. "Financing energy transformation: The role of renewable energy equity indices." International Journal of Green Energy 14, no. 4 (November 28, 2016): 368–78. http://dx.doi.org/10.1080/15435075.2016.1261704.

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González, Vicente Gutiérrez, Lissette Álvarez Colmenares, Jesús Fernando López Fidalgo, Germán Ramos Ruiz, and Carlos Fernández Bandera. "Uncertainy’s Indices Assessment for Calibrated Energy Models." Energies 12, no. 11 (May 31, 2019): 2096. http://dx.doi.org/10.3390/en12112096.

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Building Energy Models (BEMs) are a key element of the Energy Performance of Buildings Directive (EPBD), and they are at the basis of Energy Performance Certificates (EPCs). The main goal of BEMs is to provide information for building stakeholders; they can be a powerful market tool to increase demand for energy efficiency solutions in buildings without affecting the comfort of users, as well as providing other benefits. The next generation of BEMs should value buildings in a holistic and cost-effective manner across several complementary dimensions: envelope performances, system performances, and controlling the ability of buildings to offer flexible services to the grid by optimizing energy consumption, distributed generation, and storage. SABINA is a European project that aims to look for flexibility to the grid, targeting the most economic source possible: existing thermal inertia in buildings. In doing so, SABINA works with a new generation of BEMs that tend to mimic the thermal behavior of real buildings and therefore requires an accurate methodology to choose the model that complies with the requirements of the system. This paper details our novel extensive research on which statistical indices should be chosen in order to identify the best model offered by the calibration process developed by Fernandez et al. in a previous paper and therefore is a continuation of that work.
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Tripathy, S. K. "Refractive indices of semiconductors from energy gaps." Optical Materials 46 (August 2015): 240–46. http://dx.doi.org/10.1016/j.optmat.2015.04.026.

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Gutman, Ivan, Dusica Vidovic, Boris Furtula, and Igor Zenkevich. "Wiener-type indices and internal molecular energy." Journal of the Serbian Chemical Society 68, no. 4-5 (2003): 401–8. http://dx.doi.org/10.2298/jsc0305401g.

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In earlier studies it was established that internal molecular energies (Eint) of alkanes can be reproduced, in an approximate yet reliable manner by means of a molecular-graph-based structure-descriptor U. It was also established that U is linearly correlated with the Wiener index W. We now show that the correlation between U and W is more complicated than earlier expected, and that it cannot be represented by a single line. We also show that a very good linear correlation exists between U and a modified version Wm(?) of the Wiener index, which is thus more suitable for modeling Eint than the ordinary Wiener index. .
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Goldstein, David B., and Charles Eley. "A classification of building energy performance indices." Energy Efficiency 7, no. 2 (February 1, 2014): 353–75. http://dx.doi.org/10.1007/s12053-013-9248-0.

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Dissertations / Theses on the topic "Energy indices"

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Hanegan, Andrew Aaron. "Industrial energy use indices." Texas A&M University, 2007. http://hdl.handle.net/1969.1/85849.

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Energy use index (EUI) is an important measure of energy use which normalizes energy use by dividing by building area. Energy use indices and associated coefficients of variation are computed for major industry categories for electricity and natural gas use in small and medium-sized plants in the U.S. The data is very scattered with the coefficients of variation (CoV) often exceeding the average EUI for an energy type. The combined CoV from all of the industries considered, which accounts for 8,200 plants from all areas of the continental U.S., is 290%. This paper discusses EUIs and their variations based on electricity and natural gas consumption. Data from milder climates appears more scattered than that from colder climates. For example, the ratio of the average of coefficient of variations for all industry types in warm versus cold regions of the U.S. varies from 1.1 to 1.7 depending on the energy sources considered. The large data scatter indicates that predictions of energy use obtained by multiplying standard EUI data by plant area may be inaccurate and are less accurate in warmer than colder climates (warmer and colder are determined by annual average temperature weather data). Data scatter may have several explanations, including climate, plant area accounting, the influence of low cost energy and low cost buildings used in the south of the U.S. This analysis uses electricity and natural gas energy consumption and area data of manufacturing plants available in the U.S. Department of Energy's national Industrial Assessment Center (IAC) database. The data there come from Industrial Assessment Centers which employ university engineering students, faculty and staff to perform energy assessments for small to medium-sized manufacturing plants. The nation-wide IAC program is sponsored by the U.S. Department of Energy. A collection of six general energy saving recommendations were also written with Texas manufacturing plants in mind. These are meant to provide an easily accessible starting point for facilities that wish to reduce costs and energy consumption, and are based on common recommendations from the Texas A&M University IAC program.
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Hoi, Loison. "Inflationary spectral indices and potential reconstruction." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99185.

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The Inflationary power spectrum plays an important role in modern cosmology. In this thesis, we studied both the experimental and theoretical aspects of the inflationary spectral index. By exploring the recent WMAP data, we found that the evidence for the running of the spectral index mainly comes from multipoles near l = 40. This fact allows a partial running spectrum to give as good a fit as the WMAP running spectrum. We gave some simple formulae for the inflationary spectral indices based on the Hamilton-Jacobi formulation of inflation. These simple formulae agree with the exact solutions in some special cases. The Hamilton-Jacobi formulation of inflation was also applied to reconstruct inflaton potentials from a given power spectrum. A simple and accurate reconstruction formulation was presented. All analytic potentials giving a constant spectral index are derived, which show that a nearly scale-invariant spectrum can give rise to slow-roll inflation during 60 e-foldings within sub-Planckian inflaton field values and a potential energy V1/4 ~ 1015GeV. Potentials for large running of the spectral index and large tensor-to-scalar ratio were also constructed, which need super-Planckian field values and require that the slow-roll approximation breaks down before reaching 60 e-foldings. We have shown that for the cosmologically interesting scales, a renormalizable potential fits the reconstructed potential for a large running spectrum very well. Our reconstruction formulation also produces a self-consistent tensor spectrum once a scalar spectrum and the tensor-to-scalar ratio are given. Higher order corrections to the slow-roll approximation are also considered. We showed that they can be incorporated straightforwardly into our formulae for spectral indices and the reconstruction formalism.
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Annelin, Alice. "Comparing the Volatility of Socially Responsible Investments, Renewable Energy Funds and Conventional Indices." Thesis, Umeå universitet, Företagsekonomi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-91029.

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A growing concern among investors for social responsibility in relation to the business world and its effect on the environment, society, and government has increased and therefore different types of stock indices and funds that incorporate socially responsible ideals have been developed. However, a literature review revealed that there does not seem to be much information about the volatility of Green Funds or Socially Responsible Investments (SRI). Volatility is an important part of understanding the financial markets and is used by many to understand asset allocation, risk management, option pricing and many other functions. Therefore, the purpose of this thesis is to investigate the volatility performance of SRIs, REFs and Conventional Indices by using different models CAPM, SR, JA and EGARCH, and monthly and daily data from the US, UK, Japan and Eurozone financial markets to compare results.   This thesis has been conducted by following an objective ontological and positivist epistemological position, because the data used for analysis in this thesis is independent from the author and has studied what actually exists, not what the author seeks to interpret. The research approach is functionalist, because this thesis sought to explain how the investments function in relation to volatility comparisons in different financial markets and if this volatility can be predicted through a framework of rules designed by previous researchers. The design is a deductive study of quantitative, longitudinal, secondary data, because hypotheses are derived from theory to test the volatility of time series data between the year 2007 and 2012 through empirical evidence.   Statistical evidence was found to suggest that the EGARCH model for volatility measurement is the best fit to model volatility and daily data can give more information and better consistency between results. SRIs were found to be less volatile than CIs in all financial markets; REFs were found more volatile than CIs in the US and Eurozone markets but not in the UK and Japan markets; REFs were found to be more volatile than SRIs in all markets except the UK; REFs were also found to be more volatile than SRIs and CIs during a recession in all markets except the UK. Evidence also indicated that the correlations between REFs and SRIs in the US and Eurozone were significant, but not significant in the UK and Japan market samples. The correlations were low between the UK and Japan SRIs, Japan and Eurozone SRIs and Japan SRI and Eurozone REF, which suggest that an investor may consider to diversify between these investments. However, all other statistically significant correlations between financial markets were high and could consequentially deliver poor long term investment performance.
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Adderly, Shawn. "Reviewing Power Outage Trends, Electric Reliability Indices and Smart Grid Funding." ScholarWorks @ UVM, 2016. http://scholarworks.uvm.edu/graddis/531.

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As our electric power distribution infrastructure has aged, considerable investment has been applied to modernizing the electrical power grid through weatherization and in deployment of real-time monitoring systems. A key question is whether or not these investments are reducing the number and duration of power outages, leading to improved reliability. Statistical methods are applied to analyze electrical disturbance data (from the Department of Energy, DOE) and reliability index data (from state utility public service commission regulators) to detect signs of improvement. The number of installed smart meters provided by several utilities is used to determine whether the number of smart meters correlate with a reduction in outage frequency. Indication emerged that the number of power outages may be decreasing over time. The magnitude of power loss has decreased from 2003 to 2007, and behaves cyclically from 2008 to 2014, with a few outlier points in both groups. The duration also appears to be decreasing between 2003-2014. Large blackout events exceeding 5 GW continue to be rare, and certain power outage events are seasonally dependent. There was a linear relationship between the number of customers and the magnitude of a power outage event. However, no relationship was found between the magnitude of power outages and time to restore power. The frequency of outages maybe decreasing as the number of installed smart meters has increased. Recommendations for inclusion of additional metrics, changes to formatting and semantics of datasets currently provided by federal and state regulators are made to help aid researchers in performing more effective analysis. Confounding variables and lack of information that has made the analysis diffcult is also discussed.
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Yokoyama, Yoshihiro. "Postmortem Changes in High-Energy Phosphate Compounds and Chemical Indices for Assessing Freshness of Fish and Shellfish." Kyoto University, 1995. http://hdl.handle.net/2433/160858.

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本文データは平成22年度国立国会図書館の学位論文(博士)のデジタル化実施により作成された画像ファイルを基にpdf変換したものである
Kyoto University (京都大学)
0048
新制・論文博士
博士(農学)
乙第8893号
論農博第1976号
新制||農||700(附属図書館)
学位論文||H7||N2810(農学部図書室)
UT51-95-D486
(主査)教授 坂口 守彦, 教授 石田 祐三郎, 教授 田中 克
学位規則第4条第2項該当
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Тихенко, C. В. "Применение эколого-экономических показателей в управлении и планировании развития топливно-энергетического комплекса." Thesis, Суми, 1993. http://essuir.sumdu.edu.ua/handle/123456789/60660.

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Применение эколого-экономических показателей в управлении и планировании развития топливно-энергетического комплекса
Application of environmental and economic indicators in the management and planning of the development of the fuel and energy complex
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Gomes, Leonardo Alonso. "Metodo baseado em logica nebulosa para alocação de geradores distribuidos sob a optica do perfil de tensão." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/258798.

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Orientadores: Carlos Alberto Favarin Murari, Ahda Pionkoski Grilo Pavani
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
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Resumo: Nesta dissertação é proposta uma metodologia baseada em lógica nebulosa para a obtenção de um índice que classifica as barras mais propícias para a instalação de geradores distribuídos em uma rede de distribuição de energia elétrica. A metodologia foi desenvolvida levando em consideração a dificuldade em se manter um perfil de tensão adequado e, dessa forma, tende a contemplar com os maiores valores de índices, as barras nas quais a conexão de geradores tende a melhorar o perfil de tensão da rede. Outro aspecto considerado no desenvolvimento da metodologia foi o de minimizar as perdas de potência ativa na rede elétrica. De forma geral, a obtenção do índice consiste em associar graus de pertinências para as variáveis magnitude da tensão e potência ativa da carga em cada uma das barras e, a partir de regras nebulosas, definir um valor numérico para o índice. Uma das vantagens dessa metodologia é que tais variáveis podem ser classificadas em conjuntos nebulosos, os quais traduzem lingüisticamente os conhecimentos humanos e, assim, pode-se mais facilmente utilizar a experiência humana adquirida na operação de uma rede de distribuição para a definição das regras nebulosas para a obtenção dos índices a serem empregados na alocação dos geradores. E ao ser comparada a técnicas tradicionais de análise, tem-se uma significativa vantagem que consiste em não necessitar de execuções consecutivas de fluxos de potência, sendo necessário apenas a obtenção do estado de operação da rede através de um único fluxo de potência no caso base.
Abstract: This work consists in proposing a methodology based on Fuzzy Logic to obtain an index, which classifies the buses more suitable to install a distributed generator in an electric power distribution system. Themethodologywas developed taking into consideration the difficulty tomaintain a suitable voltage profile in distribution systems, so the methodology results in large, index values for the buses in which the installation of generators results in a more suitable voltage profile. Another aspect included in the methodology is the minimization of the real power losses. Applying a set of fuzzy rules, the index is calculated by setting membership values to the bus 'voltage' and 'load real power'. The advantages of this methodology are that the classification of the variables into fuzzy sets, which allow the linguistic translation of the system operator knowledge and so his experience of operating the system can be employed in the process of allocating distributed generators in the system and when compared to traditional techniques of analysis, does not need of consecutive runs of power flows, it is necessary only to obtain the state operating of the network through only one power flow in base case.
Mestrado
Energia Eletrica
Mestre em Engenharia Elétrica
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Sonono, Masimba Energy. "Applications of conic finance on the South African financial markets /| by Masimba Energy Sonono." Thesis, North-West University, 2012. http://hdl.handle.net/10394/9206.

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Conic finance is a brand new quantitative finance theory. The thesis is on the applications of conic finance on South African Financial Markets. Conic finance gives a new perspective on the way people should perceive financial markets. Particularly in incomplete markets, where there are non-unique prices and the residual risk is rampant, conic finance plays a crucial role in providing prices that are acceptable at a stress level. The theory assumes that price depends on the direction of trade and there are two prices, one for buying from the market called the ask price and one for selling to the market called the bid price. The bid-ask spread reects the substantial cost of the unhedgeable risk that is present in the market. The hypothesis being considered in this thesis is whether conic finance can reduce the residual risk? Conic finance models bid-ask prices of cashows by applying the theory of acceptability indices to cashows. The theory of acceptability combines elements of arbitrage pricing theory and expected utility theory. Combining the two theories, set of arbitrage opportunities are extended to the set of all opportunities that a wide range of market participants are prepared to accept. The preferences of the market participants are captured by utility functions. The utility functions lead to the concepts of acceptance sets and the associated coherent risk measures. The acceptance sets (market preferences) are modeled using sets of probability measures. The set accepted by all market participants is the intersection of all the sets, which is convex. The size of this set is characterized by an index of acceptabilty. This index of acceptability allows one to speak of cashows acceptable at a level, known as the stress level. The relevant set of probability measures that can value the cashows properly is found through the use of distortion functions. In the first chapter, we introduce the theory of conic finance and build a foundation that leads to the problem and objectives of the thesis. In chapter two, we build on the foundation built in the previous chapter, and we explain in depth the theory of acceptability indices and coherent risk measures. A brief discussion on coherent risk measures is done here since the theory of acceptability indices builds on coherent risk measures. It is also in this chapter, that some new acceptability indices are introduced. In chapter three, focus is shifted to mathematical tools for financial applications. The chapter can be seen as a prerequisite as it bridges the gap from mathematical tools in complete markets to incomplete markets, which is the market that conic finance theory is trying to exploit. As the chapter ends, models used for continuous time modeling and simulations of stochastic processes are presented. In chapter four, the attention is focussed on the numerical methods that are relevant to the thesis. Details on obtaining parameters using the maximum likelihood method and calibrating the parameters to market prices are presented. Next, option pricing by Fourier transform methods is detailed. Finally a discussion on the bid-ask formulas relevant to the thesis is done. Most of the numerical implementations were carried out in Matlab. Chapter five gives an introduction to the world of option trading strategies. Some illustrations are used to try and explain the option trading strategies. Explanations of the possible scenarios at the expiration date for the different option strategies are also included. Chapter six is the appex of the thesis, where results from possible real market scenarios are presented and discussed. Only numerical results were reported on in the thesis. Empirical experiments could not be done due to limitations of availabilty of real market data. The findings from the numerical experiments showed that the spreads from conic finance are reduced. This results in reduced residual risk and reduced low cost of entering into the trading strategies. The thesis ends with formal discussions of the findings in the thesis and some possible directions for further research in chapter seven.
Thesis (MSc (Risk Analysis))--North-West University, Potchefstroom Campus, 2013.
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Pomeroy, Stephanie K. "Effect of dietary lysine and genetics on indices of energy and protein metabolism in rainbow trout and alterations in the mitochondrial proteome in broilers fed a lysine-deficient diet." Morgantown, W. Va. : [West Virginia University Libraries], 2008. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=6035.

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Thesis (M.S.)--West Virginia University, 2008.
Title from document title page. Document formatted into pages; contains viii, 89 p. : ill. Includes abstract. Includes bibliographical references (p. 67-73).
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Varella, Fabiana Karla de Oliveira Martins. "Estimativa do indice de nacionalização dos sistemas fotovoltaicos no Brasil." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/263003.

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Orientadores: Carla Kazue Nakao Cavaliero, Ennio Peres da Silva
Tese (doutorado) -Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica
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Resumo: A Lei nº 10.438/02 estabeleceu o Programa de Incentivo às Fontes Alternativas de Energia Elétrica - PROINFA, único programa nacional a estimular as fontes renováveis alternativas, com o intuito de aumentar a participação da energia elétrica produzida por empreendimentos a partir das fontes eólica, pequenas centrais hidrelétricas - PCHs e biomassa no sistema interligado nacional. Posteriormente, o PROINFA foi revisado pela Lei nº 10.762/03 e alterou em sua regulamentação a obrigatoriedade de um índice mínimo de nacionalização de serviços e equipamentos, que em sua primeira etapa passou a corresponder a 60% do custo total da construção dos projetos contemplados. A energia solar fotovoltaica não foi contemplada pelo Programa, e o objetivo desta tese é estimar o índice de nacionalização para cada um dos três sistemas fotovoltaicos selecionados para estudo (sistema de bombeamento de água, sistema de eletrificação rural e sistema conectado à rede elétrica). Para elaboração desse cálculo foi efetuada uma adaptação da metodologia utilizada pelo PROINFA e considerados somente os custos dos principais equipamentos e não dos serviços. Os resultados obtidos permitiram concluir que os sistemas de bombeamento de água e de eletrificação rural são sistemas que 5% e 35%, respectivamente, dos seus equipamentos já são disponibilizados pela indústria nacional. mesmo não ocorre com os sistemas fotovoltaicos conectados à rede elétrica, que atualmente tem 100% dos seus principais equipamentos importados
Abstract: The Law nº 10.438/02 established the Program of Incentives for Alternative Electric Power Sources - PROINFA, which is the only national program aimed to foster alternative renewable energy sources and to increase the share of electric energy production from enterprises based on wind power, small hydropower plants and biomass in the interconnected national power grid. PROINFA was later modified by the Law nº 10.762/03 which revised the regulation imposing a minimum nationalization index of services and equipment that in its first stage corresponded to 60% of the total cost of the selected projects. Solar photovoltaic power was not included in PROINFA and because of that the objective of this thesis is to estimate the nationalization index of each of the following photovoltaic systems selected for the study: water pumping PV system, rural electrification PV system and grid-connected PV system. In order to carry out the calculations, the methodology used at PROINFA was adapted and only the costs of the key equipment, not the services, were considered. The results led to the conclusion that the water pumping and the rural electrification systems are those in which 5% and 35%, respectively, equipment is already made available by the national industry. The same is not verified for the grid-connected PV systems in which 100% of the key equipment is imported
Doutorado
Doutor em Planejamento de Sistemas Energéticos
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Books on the topic "Energy indices"

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Calford, Jennifer Anne. Fat energy reserves of American marten, Martes americana, and indices of total body fat contents. Sudbury, Ont: Laurentian University, Department of Biology, 1996.

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United Service Institution of India, ed. India's energy security. New Delhi: United Service Institute of India, 2013.

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Monga, G. S. India's energy prospects. New Delhi: Vikas Pub. House, 1994.

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Rajeev, S. India's energy security. Bangalore: Indian Institute of Management Bangalore, 2010.

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Pant, Girijesh, ed. India's Emerging Energy Relations. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2503-4.

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Nuclear energy in India's energy security matrix: An appraisal. New Delhi: Published in association with Rajiv Gandhi Institute of Petroleum Technology by Vij Books India, 2014.

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India's energy security: The changing dynamics. New Delhi: Pentagon Energy Press, 2010.

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South Asian Strategic Stability Institute, ed. India's energy options in Central Asia. Islamabad: South Asian Strategic Stability Institute, 2008.

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Singh, Bhupendra Kumar. India's energy security: The changing dynamics. New Delhi: Pentagon Energy Press, 2010.

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Singh, Bhupendra Kumar. India's energy security: The changing dynamics. New Delhi: Pentagon Energy Press, 2010.

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Book chapters on the topic "Energy indices"

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Dinter, Frank, Michael A. Geyer, and Rainer Tamme. "Symbols and Indices." In Thermal Energy Storage for Commercial Applications, 83–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-48685-2_5.

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Bassim, Mohga, and Vincent Charles. "International Energy Security Risk Index and Energy Diplomacy." In Modern Indices for International Economic Diplomacy, 157–91. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84535-3_6.

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Broadstock, David, and George Filis. "Energy Prices, Sectoral Indices and Regulation." In Energy Technology and Valuation Issues, 25–55. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13746-9_3.

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Wang, Hao, Zhongqin Lin, Kai Zhao, and Genliang Chen. "Buffering Indices for Robot Manipulators Based on the Energy Distribution." In Intelligent Robotics and Applications, 252–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16587-0_23.

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Molavizadeh, Nazila, Elif Sertel, and Hande Demirel. "Drought Conditions in Turkey Between 2004 and 2013 Via Drought Indices Derived from Remotely Sensed Data." In Energy, Transportation and Global Warming, 113–21. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30127-3_10.

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Jiang, Rengui, Jiancang Xie, Fawen Li, Honghong Liu, and Bin Li. "Characteristics of satellite-based vegetation health indices in Shaanxi, China: 1982–2015." In Advances in Energy Science and Equipment Engineering II, 589–93. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2017. http://dx.doi.org/10.1201/9781315116167-115.

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Stockinger, Kurt, Dirk Duellmann, Wolfgang Hoschek, and Erich Schikuta. "Improving the Performance of High-Energy Physics Analysis through Bitmap Indices." In Lecture Notes in Computer Science, 835–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44469-6_78.

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Djeziri, Mohand Arab, Samir Benmoussa, and Enrico Zio. "Review on Health Indices Extraction and Trend Modeling for Remaining Useful Life Estimation." In Artificial Intelligence Techniques for a Scalable Energy Transition, 183–223. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42726-9_8.

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Graczyk, Dariusz, Iwona Pińskwar, and Adam Choryński. "Projected Changes in Thermal Indices Related to the Agriculture and Energy Sectors." In Climate Change in Poland, 545–58. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70328-8_23.

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Siddika, Ayesha, and Ming Lu. "Evaluating Risk Indices for Execution Plans of Construction Activities: Energy Sources Approach." In Lecture Notes in Civil Engineering, 185–96. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0968-9_15.

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Conference papers on the topic "Energy indices"

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Rovnyak, S. M., M. N. Nilchi, D. W. Longbottom, and D. C. Vasquez. "Angle stability predictive indices." In 2012 IEEE Power & Energy Society General Meeting. New Energy Horizons - Opportunities and Challenges. IEEE, 2012. http://dx.doi.org/10.1109/pesgm.2012.6344976.

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Bollen, Math, and Ying Wang. "Voltage sag indices - future directions." In 2015 IEEE Power & Energy Society General Meeting. IEEE, 2015. http://dx.doi.org/10.1109/pesgm.2015.7286188.

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Terzija, Vladimir, and Vladimir Stanojevic. "STLS algorithm for power quality indices estimation." In Energy Society General Meeting. IEEE, 2008. http://dx.doi.org/10.1109/pes.2008.4596952.

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Ragheb, Magdi, and Laith AlBarakat. "Incidence and likelihood risk and safety indices." In Renewable Energy Conference (INREC). IEEE, 2010. http://dx.doi.org/10.1109/inrec.2010.5462578.

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Varricchio, Sergio Luis, Francisco Damasceno Freitas, and Nelson Martins. "Spectral energy indices for model order reduction." In 2013 IEEE Power & Energy Society General Meeting. IEEE, 2013. http://dx.doi.org/10.1109/pesmg.2013.6672415.

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Berzan, Vladimir, Iurie Ermurachi, Nicolae Andronati, Larisa Moraru, Radu-Dumitru Pentiuc, and Constantin Filote. "Electronics Converters with High Energy Efficiency Indices." In 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON). IEEE, 2019. http://dx.doi.org/10.1109/ukrcon.2019.8880020.

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Rad, Mahdi Behrang, and Mohsen Parsa Moghadam. "Deriving guiding indices for selecting relevant electrical home appliance." In Energy Conference (EPEC). IEEE, 2008. http://dx.doi.org/10.1109/epc.2008.4763338.

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Chen, Cheng-I., and Gary W. Chang. "Review and comments on applications of harmonic indices." In Energy Society General Meeting (PES). IEEE, 2009. http://dx.doi.org/10.1109/pes.2009.5275762.

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Algarni, Ayed A. S., and Kankar Bhattacharya. "Novel sensitivity indices based siting of distributed generation resources." In Energy Society General Meeting. IEEE, 2008. http://dx.doi.org/10.1109/pes.2008.4596504.

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El-Ela, A. A. Abou, A. M. Kinawy, M. T. Mouwafi, and R. A. El Sehiemy. "Efficient performance indices for voltage collapse detection." In 2010 IEEE International Energy Conference (ENERGYCON 2010). IEEE, 2010. http://dx.doi.org/10.1109/energycon.2010.5771671.

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Reports on the topic "Energy indices"

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Arasteh, Dariush, Christian Kohler, and Brent Griffith. Modeling Windows in Energy Plus with Simple Performance Indices. Office of Scientific and Technical Information (OSTI), October 2009. http://dx.doi.org/10.2172/975375.

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Lavappa, Priya D., and Joshua D. Kneifel. Energy price indices and discount factors for life-cycle cost analysis:. Gaithersburg, MD: National Institute of Standards and Technology, March 2019. http://dx.doi.org/10.6028/nist.ir.85-3273-34.

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Lavappa, Priya D., and Joshua D. Kneifel. Energy price indices and discount factors for life-cycle cost analysis:. Gaithersburg, MD: National Institute of Standards and Technology, April 2020. http://dx.doi.org/10.6028/nist.ir.85-3273-35.

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Petersen, Stephen R. Energy price indices and discount factors for life-cycle cost analysis 1996 :. Gaithersburg, MD: National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.ir.85-3273-10.

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Petersen, Stephen R. Energy price indices and discount factors for life-cycle cost analysis 1997. Gaithersburg, MD: National Institute of Standards and Technology, 1996. http://dx.doi.org/10.6028/nist.ir.85-3273-11.

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Rushing, Amy S., and Barbara C. Lippiatt. Energy price indices and discount factors for life-cycle cost analysis - 2009 :. Gaithersburg, MD: National Institute of Standards and Technology, 2009. http://dx.doi.org/10.6028/nist.ir.85-3273-24.

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Rushing, Amy S., Joshua D. Kneifel, and Barbara C. Lippiatt. Energy price indices and discount factors for life-cycle cost analysis - 2011 :. Gaithersburg, MD: National Institute of Standards and Technology, 2011. http://dx.doi.org/10.6028/nist.ir.85-3273-26.

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Rushing, Amy S., Joushua D. Kneifel, and Barbara C. Lippiatt. Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis – 2012. Gaithersburg, MD: National Institute of Standards and Technology, November 2012. http://dx.doi.org/10.6028/nist.ir.85-3273-27.

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Rushing, Amy S., Joshua D. Kneifel, and Priya Lavappa. Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2014. National Institute of Standards and Technology, November 2014. http://dx.doi.org/10.6028/nist.ir.85-3273-29.

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Kneifel, Joshua D. Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis – 2022:. Gaithersburg, MD: National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.ir.85-3273-37.

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