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Academic literature on the topic 'Energy policy Australia Mathematical models'

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Published: 4 June 2021
Last updated: 28 January 2023

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Journal articles on the topic "Energy policy Australia Mathematical models"

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Elghaish, Faris, M. Reza Hosseini, Saeed Talebi, Sepehr Abrishami, Igor Martek, and Michail Kagioglou. "Factors Driving Success of Cost Management Practices in Integrated Project Delivery (IPD)." Sustainability 12, no. 22 (November 16, 2020): 9539. http://dx.doi.org/10.3390/su12229539.

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Integrated project delivery (IPD) is a mode of project procurement recognised as facilitating superior project performance. However, this success is contingent on effective cost management practices that share cost data with all project stakeholders in an accurate, timely and transparent manner. Despite an extensive literature on aspects of cost management, none identifies the essential ingredients required of an effective cost management system, sufficiently robust to support successful IPD projects. Candidate cost management augmenting practices are drawn from the literature, and presented for scrutiny in questionnaire form, to fifty IPD experienced experts, based in the USA, UK and Australia. Findings reveal activity-based costing (ABC) to be effective at identifying overhead costs and creating accounting transparency. Similarly, earned value management (EVM), in combination with ABC, is effective at developing mathematical models for equitable risk-reward distribution. Moreover, web-based management systems, as supported by Building Information Modelling (BIM), are effective at generating trust and collaboration on which IPD success depends. A questionnaire survey using purposive sampling was conducted to assess the factors driving success of implementing IPD regarding cost management process. The contribution to knowledge made by this paper is in identifying requisite support mechanisms essential to elevate traditional cost management practices to the higher standard needed to ensure IPD delivery success.
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Kim, Hu Gon, Yong Joo Chung, and Chun Hyun Paik. "Mathematical Constraints Representation for Bottom-Up Approaches to Climate Policy Modeling." Advanced Materials Research 734-737 (August 2013): 3133–36. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.3133.

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For analyzing the effect of GHG abatement policies, bottom-up models including MARKAL, MESSAGE, AIM etc. are widely used. These models are normally based on LP(linear programming) optimization, and are trying to find both the minimal cost combination of technologies and energy flows while satisfying the demands. This study investigates representative constraints needed for analysing GHG abatement policies, proposes how to implement these constraints in bottom-up modeling.
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Kolosok, Svitlana, Tetyana Pimonenko, Alona Yevdokymova, Nazim Ozbey Hajiyev, Maksym Palienko, and Lesya Prasol. "Energy efficiency policy: impact of green innovations." Marketing and Management of Innovations, no. 4 (2020): 50–60. http://dx.doi.org/10.21272/mmi.2020.4-04.

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The European energy policy is a core role in the development of the new model of the energy market and carbon-free economy in Ukraine. In the paper, the authors analyzed the key issues on the way to implement the European policy on increasing energy efficiency and green innovations which emphasized in pro et contra. The performance of national energy policy could be limited by the market instruments, the efficiency of the smart grid and perception of innovations in the energy sectors, institutional development in general. Thus, the paper aimed to indicate the impact of green innovations on sustainable development and the country’s energy efficiency for 2000-2019. The authors used economic and mathematical modeling. The Ordinary Least Square Model was used for the integral assessment of energy efficiency policy. The authors analyzed nine sub-indicators from four Sustainable development goals (Affordable and Clean Energy, Decent Work and Economic Growth, Responsible Consumption and Production, Combating Climate Change) and the indicator which characterized the innovation costs of industrial enterprises in the energy sector in Ukraine. The methodological instrument for checking the hypothesis and empirical justification was software stats models в Python 3.6.11. Due to the seven rounds of optimization, the authors developed significant functioning. Considering the finding of Ordinary Least Square Modelling, the authors highlighted the determinants which influenced the efficiency of energy policy: dependence on energy imports by-products, real GDP per capita, and final energy consumption. At the same time, the final energy consumption had less effect on the efficiency of energy policy and demonstrated the negative relationships with energy efficiency. The results of the models were verified using RESET and Jarque-Bera tests and confirmed the correctness of the proposed model. Keywords: energy policy, sustainable development goals, green innovations, energy efficiency.
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Makarov, V. "The Symbiosis of Economic Science and Practice in Reforming (On the Book by S. Ya. Chernavsky “Reforms of the Energy Regulated Branches in Russia”)." Voprosy Ekonomiki, no. 10 (October 20, 2014): 114–24. http://dx.doi.org/10.32609/0042-8736-2014-10-114-124.

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The book by S. Chernavsky is devoted to the reform of the Russian energy sector and the economy as a whole. The author assesses in detail carried out reforms and develops policy recommendations in the interest of the society. In some chapters of this book the author plays the role of an analyst, in the others - that of one of the participants directly involved in the reform or its main developer. In all cases, the analysis is combined with the use of modern economic theory, mathematical models of the behavior of economic agents and empirical data. Many mathematical models presented have been developed and evaluated in cooperation with the leading Russian experts in the field of mathematical modeling and econometrics analysis that determines their validity. The obtained results and policy recommendations allow us to count on lower transformation costs and higher probability of successful implementation of reforms.
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Duan, Jon, G. Cornelis van van Kooten, and A. T. M. Hasibul Islam. "Calibration of Grid Models for Analyzing Energy Policies." Energies 16, no. 3 (January 23, 2023): 1234. http://dx.doi.org/10.3390/en16031234.

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Intermittent forms of renewable energy destabilize electricity grids unless adequate reliable generating capacity and storage are available, while instability of hybrid electricity grids and cost fluctuations in fossil fuel prices pose further challenges for policymakers. We examine the interaction between renewable and traditional fossil-fuel energy sources in the context of the Alberta electricity grid, where policymakers seek to eliminate coal and reduce reliance on natural gas. We develop a policy model of the Alberta grid and, unlike earlier models, calibrate the cost functions of thermal generation using positive mathematical programming. Rather than employing constant average and marginal costs, calibration determines upward sloping supply (marginal cost) functions. The calibrated model is then used to determine an optimal generation mix under different assumptions regarding carbon prices and policies to eliminate coal-fired capacity. Results indicate that significant wind capacity can enter the Alberta grid if carbon prices are high, but that it remains difficult to eliminate reliable baseload capacity. Adequate baseload coal and/or natural gas capacity is required, which is the case even if battery storage is allowed into the system. Further, significant peak-load gas capacity will also be required to backstop intermittent renewables.
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Robin, Libby. "Uncertain Seasons in the El Niño Continent: Local and Global Views." Australia, no. 28/3 (January 15, 2019): 7–19. http://dx.doi.org/10.7311/0860-5734.28.3.02.

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As global climate change shifts seasonal patterns, local and uncertain seasons of Australia have global relevance. Australia’s literature tracks extreme local weather events, exploring ‘slow catastrophes’ and ‘endurance.’ Humanists can change public policy in times when stress is a state of life, by reflecting on the psyches of individuals, rather than the patterns of the state. ‘Probable’ futures, generated by mathematical models that predict nature and economics, have little to say about living with extreme weather. Hope is not easily modelled. The frameworks that enable hopeful futures are qualitatively different. They can explore the unimaginable by offering an ‘interior apprehension.’
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Onyx, Jenny, Liz Cham, and Bronwen Dalton. "Current Trends in Australian Nonprofit Policy." Nonprofit Policy Forum 7, no. 2 (June 1, 2016): 171–88. http://dx.doi.org/10.1515/npf-2015-0023.

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AbstractThere has been a large growth in nonprofits in Australia over the past 30 years. This paper will chart some of the key current policy trends that have helped shape the sector. The huge investment in the nonprofit sector by government, particularly since the mid 1990s coincided with a strong ideological shift to a neoliberal economic agenda. There was a concerted effort to bring nonprofits under the control of government policy. This has lead to greater competition among nonprofits, the growth of large charities at the expense of small local organisations, and a greater emphasis on adopting business models. Those nonprofit organisations that provide a community development role have been particularly under threat. However while much of the nonprofit world in Australia is increasingly driven by neoliberal, business oriented demands, another alternative phenomenon is emerging, particularly among young people and largely out of the gaze of public scrutiny. As fast as the state finds a way of controlling the productive energy of the nonprofit sector, the sector itself finds a way of curtailing that control, or of creating new ways of operating that go beyond existing structures and rules of operating.
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Tonn, B. E. "A Method for the Nonstatistical Assessment of Behaviorally-Based Policy Models." Environment and Planning A: Economy and Space 20, no. 5 (May 1988): 669–79. http://dx.doi.org/10.1068/a200669.

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Advanced computer-technology, sophisticated econometric computer-software, and the increasing availability of disaggregated data have all facilitated the development and use, for planning and policy analysis, of statistically-estimated mathematical models of human behavior. In this paper the author presents a method to judge subjectively the quality of these models and illustrates how the results of the method can be used, with statistical measures of the quality of a model, as indicators of the predictive abilities of the model. Ideas are drawn from the literature on artificial intelligence, and the concern is how to represent and manipulate subjective judgments. Five models which are related to household energy-use behavior are subjectively assessed, statistically estimated, and used to predict future behavior. In four of the five cases, the subjective assessments, in combination with the statistical measures, correctly indicate the quality of the predictive accuracy of a model.
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Lau, Henry. "Monitoring Quality of Components by Fuzzy Control Principle." International Journal of Reliability, Quality and Safety Engineering 05, no. 02 (June 1998): 133–45. http://dx.doi.org/10.1142/s0218539398000145.

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A fuzzy expert system uses fuzzy logic control,1 which is based on a "superset" of Boolean logic that has been extended to handle the concept of "partial truth." It replaces mathematical models with models that are built from a number of rules with fuzzy variables such as output temperature, and fuzzy terms such as extremely hot, fairly cold. A fuzzy expert system has been implemented in a plastic moulding shop in Australia for monitoring dimensional quality of output products. Because these plastic parts are used as assembly components for production of gear boxes, their dimensional accuracy is of utmost importance. This paper presents the implementation of this monitoring system adopting a graphical and non-mathematical approach, and examines the application of fuzzy control systems in quality control. Practical examples with descriptions of how the fuzzy rules are shown and the operations of the fuzzy inference engine are covered.
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White, DH, and PJ Bowman. "Economics of feeding energy-based supplements to grazing ewes before mating in order to increase the reproduction rate of a wool-producing flock." Australian Journal of Experimental Agriculture 27, no. 1 (1987): 11. http://dx.doi.org/10.1071/ea9870011.

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The financial wisdom of feeding energy-based supplements to ewes before mating to increase fecundity was evaluated using mathematical models of sheep production systems. It was concluded that, for a wool-producing enterprise in southern Australia, feeding supplements to ewes pre-mating is likely to be highly unprofitable. This is partly because relatively few ewes would have extra ova and also because multiple embryos and lambs have a lower probability of survival than single embryos and lambs. Further more, the extra lambs reared would be associated with an increase in grazing pressure which would necessitate a reduction in either stocking rate or in ewe liveweight at mating and thus fecundity in the subsequent season.
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Dissertations / Theses on the topic "Energy policy Australia Mathematical models"

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Jaforullah, Mohammad. "Energy modelling in a general equilibrium framework with alternative production specifications." Title page, contents and astract only, 1988. http://web4.library.adelaide.edu.au/theses/09PH/09phj23.pdf.

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Kwok, Ho King Calvin Actuarial Studies Australian School of Business UNSW. "Energy price modelling and risk management." Awarded by:University of New South Wales. Actuarial Studies, 2007. http://handle.unsw.edu.au/1959.4/40602.

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This thesis focuses on the development of a forecasting model for short- to medium-term electricity spot prices, based on modelling the dynamics of the supply and demand functions. It is found that the equilibrium assumption frequently adopted in electricity price models does not always hold; to overcome this problem, a notional demand process derived from the market clearing condition is proposed. Not only is this demand process able to capture all the price-affecting factors in one variable, but it also allows the equilibrium assumption to be satisfied and a spot price model to be built, using any appropriate form of hypothetical supply function. In addition, this thesis presents a model for approximating and modelling the bid stacks by capturing the points that govern their shape and location. Integrating these two models provides a realistic model that has a mean absolute percentage error of approximately 19% and 24% for week- and month-ahead forecasts respectively, when applied to the New South Wales (NSW) half-hourly electricity spot prices. Additionally, the density forecasting evaluation method proposed by Diebold et al. (1998) is employed in the thesis to assess the performance of the model. Besides the development of a spot price model, a two-part empirical study is made of the prices of NSW electricity futures contracts. The first part of the study develops a method based on the principle of certainty equivalence, which enables the market utility function to be recovered from a set of futures market quotes. The method is tested with two different sets of simulated data and works as expected. However, it is unable to obtain useful results from the NSW market quotes due to the poor data quality. The second part uses a regression method to investigate the relationship between futures prices and the descriptive statistics of the underlying spot prices. The result suggests that futures prices in NSW are linear combinations of the median and volatility of the final payoff.
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Anasis, John George. "A Combined Energy and Geoengineering Optimization Model (CEAGOM) for Climate Policy Analysis." PDXScholar, 2015. https://pdxscholar.library.pdx.edu/open_access_etds/2620.

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One of the greatest challenges that will face humanity in the 21st century is the issue of climate change brought about by emissions of greenhouse gases. Energy use is one of the primary sources of greenhouse gas emissions. However, it is also one of the most important contributors to improved human welfare over the past two centuries and will continue to be so for years to come. This quandary has led a number of researchers to suggest that geoengineering may be required in order to allow for continued use of fossil fuels while at the same time mitigating the effects of the associated greenhouse gas emissions on the global climate. The goal of this research was to develop a model that would allow decision-makers and policy analysts to assess the optimal mix of energy and geoengineering resources needed to meet global or regional energy demand at the lowest cost while accounting for appropriate emissions, greenhouse gas concentration, or temperature rise constraints. The resulting software model is called the Combined Energy and Geoengineering Optimization Model (CEAGOM). CEAGOM was then used to analyze the recently announced U.S.-China emissions agreement and to assess what the optimal global energy resource mix might be over the course of the 21st century, including the associated potential need for geoengineering. These analyses yielded optimal mixes of energy and geoengineering resources that could be used to inform regional and global energy and climate management strategies.
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Masudi, Opese. "BelMod: a multi-sector, inter-regional general equilibrium model for Belgium." Doctoral thesis, Universite Libre de Bruxelles, 2012. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209692.

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The main objective of the dissertation is to develop a dynamic, inter-regional, and multi-sector general equilibrium model of the Belgian economy capable of analysing issues related to the environment, energy, fiscal policies and accounting for distributive effects between household groups. The dissertation focuses on BelMod, a computable general equilibrium model (CGE).

BelMod is intended to act as an analytical and quantitative support for decision-making in the energy/environment field and fiscal policies. The tool would be in evaluating ex-ante the cost and benefit of different policies to be implemented. The winners and the losers may easily be identified. BelMod also aims at filling the gaps left by the other models currently used in Belgium, in particular by explicit bottom-up modelling of the three Belgian regions (Brussels, Flanders, Wallonia) in the full integrated framework, by further disaggregating the production and consumption blocks, by distinguishing different types of households to study the distributional effects of environmental and fiscal policies.

The effect of let’s say, carbon tax, may affect branches of activities, markets and institutions differently over time and space. Under the “Burden Sharing Agreement”, Belgium committed to reduce its greenhouse gas emissions by 7.5 % by 2008-2012 from the 1990 level. Therefore the efficient way of dealing with this issue requires an analytical tool which can take into account the interactions between institutional agents (regional governments, community’s governments, central government, households, firms and rest of the world), their behaviour and the time horizon. The most adequate tool to do so is the general equilibrium model.

A CGE model such as BelMod requires a consistent, detailed and well structured database in the form of a social accounting matrix (SAM). A SAM is a square matrix which takes into account the production, consumption, revenues, expenditures and transactions of institutions at a given period of time. The reference year for our SAM is 2003. The SAM we built contains sixty two (62) branches of activity, sixty nine (69) commodities, three (3) regional governments, the French Community, the Central Government, the capital accounts and the Rest of the World.

Finally, to illustrate the capabilities of the model we provide two scenario analyses. In the first policy scenario, we simulate the introduction of a carbon tax at 20 euro per ton of CO2 emissions in 2013-2020 and 30 euro per ton of CO2 emissions in 2021-2050. In the second policy scenario, we simulate a linear and gradual increase of the crude oil price to 150 US dollars per barrel in 2050. The increase starts in 2008 and the target (150 US dollars) is reached in 2050.


Doctorat en Sciences économiques et de gestion
info:eu-repo/semantics/nonPublished

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Parsa, Maryam. "Optimum Decision Policy for Gradual Replacement of Conventional Power Sources by Clean Power Sources." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24015.

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With the increase of world population and industrial growth of developing countries, demand for energy, in particular electric power, has gone up at an unprecedented rate over the last decades. To meet the demand, electric power generation by use of fossil fuel has increased enormously thereby producing increased quantity of greenhouse gases. This contributes more and more to atmospheric pollution, which climate scientists believe can adversly affect the global climate, as well as health and the welfare of the world population. In view of these issues, there is global awareness to look for alternate sources of energy such as natural gas, hydropower, wind, solar, geothermal and biomass. It is recognized that this requires replacement of existing infrastructure with new systems, which cannot be achieved overnight. Optimal control theory has been widely used in diverse areas of physical sciences, medicine, engineering and economics. The main motivation of this thesis is to use this theory to find the optimum strategy for integration of all currently available renewable energy sources with the existing electric power generating systems. The ultimate goal is to eliminate fossil fuels. Eight main energy sources namely, Coal, Petroleum, Natural Gas, Conventional Hydro, Wind, Solar, Geothermal and Biomass are considered in a dynamic model. The state of the dynamic model represents the level of energy generation from each of the sources. Different objective functions are proposed in this thesis. These range from meeting the desired target level of power generation from each of the available sources at the end of a given plan period, to reducing the implementation and investment costs; from minimizing the production from polluted energy sources to meeting the electricity demand during a whole plan period. Official released data from the U.S. Energy Information Administration have been used as a case study. Based on real life data and the mathematics of optimal control theory, we present an optimal policy for integration of renewable energy sources to the national power grid.
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QUINHONEIRO, FERNANDO H. F. "Desenvolvimento de metodologia de análise de indicadores de sustentabilidade como ferramenta para tomada de decisão utilizando lógica fuzzy." reponame:Repositório Institucional do IPEN, 2015. http://repositorio.ipen.br:8080/xmlui/handle/123456789/26368.

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Submitted by Claudinei Pracidelli (cpracide@ipen.br) on 2016-06-22T11:03:52Z No. of bitstreams: 0
Made available in DSpace on 2016-06-22T11:03:52Z (GMT). No. of bitstreams: 0
Dissertação (Mestrado em Tecnologia Nuclear)
IPEN/D
Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP
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Siddique, Sharif Rayhan. "Development of policies to ameliorate the environmental impact of cars in Perth City, using the results of a stated preference survey and air pollution modelling." University of Western Australia. Faculty of Business, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0165.

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[Truncated abstract] Air pollution is increasingly perceived to be a serious intangible threat to humanity, with air quality continuing to deteriorate in most urban areas. The main sources of inner city pollution are motor vehicles, which generate emissions from the tail pipe as well as by evaporation. These contain toxic gaseous components which have adverse health effects. The major components are carbon monoxide (CO), nitrogen dioxide (NO2), nitric oxide (NO), sulphur dioxide (SO2), particulates (PM10), and volatile organic compounds (VOC). CO and oxides of nitrogen (NOx) are major emissions from cars. This study focuses on pollutant concentration in Perth city and has sought to develop measures to improve air quality. To estimate concentrations, the study develops air pollution models for CO and NOx; on the basis of the model estimates, effective policy is devised to improve the air quality by managing travel to the city. Two peaks, due to traffic, are observed in hourly CO and NOx concentrations. Unlike traffic, however, the morning peak does not reach the level of the afternoon peak. The reasons for this divergence are assessed and quantified. Separate causal models of hourly concentrations of CO and NOx explain their fluctuations accurately. They take account of the complex effects of the urban street canyon and winds in the city. The angle of incidence of the wind has significant impact on pollution level; a wind flow from the south-west increases pollution and wind from the north-east decreases it. The models have been shown to be equivalent to engineering and scientific models in estimating emission rate in the context of street canyons. However the study models are much more precise in the Perth context. ... The models are used to calculate the marginal effects for all attributes and elasticity for fuel price. In almost all attributes the non-work group is more responsive than the work group. Finally, the SP model results are integrated into an econometric model for the purpose of prediction. The travel behaviour prediction is used to estimate the policy impact on air quality. The benefit from the air quality improvement is reported in terms of life saved. The estimated relationships between probability of death and air pollution determines the number of lives that could be saved under various policy scenarios. A ratio of benefits to the financial and perceived sacrifices by drivers is calculated to compare the effectiveness of the suggested policies. A car size charge policy was found to be the most cost effective measure to ameliorate the environmental impact of cars in Perth, with a morning peak entry time charge being almost as cost effective. The study demonstrates the need for appropriate modelling of air pollution and travel behaviour. It brings together analytical methods at three levels of causality, vehicle to air pollution, charge to travel response, and air pollution to health.
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Jaforullah, Mohammad. "Energy modelling in a general equilibrium framework with alternative production specifications / Mohammad Jaforullah." Thesis, 1988. http://hdl.handle.net/2440/18835.

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Mui, Suet-Lam. "A cardiovascular disease policy model for Australia using a microsimulation approach." Phd thesis, 1999. http://hdl.handle.net/1885/147334.

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Amrutha, A. A. "A Class of Mathematical Models for Low Carbon Electricity Planning." Thesis, 2015. http://etd.iisc.ernet.in/2005/3934.

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India's electricity system is faced with the challenges of meeting the growing demand for electricity, managing recurring shortages in supply and addressing concerns of global warming. India is adopting a two-pronged approach to address these challenges – (i) making huge investments in new technologies, and (ii) enacting new policies to promote low carbon initiatives. Together, they are believed to help in achieving energy security as well as mitigation of global warming. Such low carbon initiatives can alter the traditional electricity planning and provide with a wide set of supply options to achieve a transition in to a low carbon electricity planning (LCEP). At the outset, one has to explore the supply options for an optimal supply-demand matching of electricity. While finding out various alternatives to meet the demand on a continuous basis using existing supply, non-supply and future supply options, the technology challenges of low carbon options, renewable energy policies and emissions policies need to be studied in detail from the perspective of a developing country keeping India as a focus. The effectiveness of renewable energy and emissions policy interventions such as Renewable Purchase Obligation (RPO), Renewable Energy Certificate (REC), Renewable Energy Certificate Excess (RECX), Emission Tax and Emission Cap-and-Trade and emission policies need to be assessed. Based on the analysis of the literature review, it appears that there is no mathematical model for optimally matching the supply with electricity demand simultaneously considering all the complexities for LCEP discussed in this study. The overall objective of the research is to develop, validate and apply a set of mathematical models to address a complex research problem of "LCEP of existing supply, non-supply and future supply options in the presence of technology and policy interventions to achieve a least-cost, low carbon and sustainable electricity system". This complex research problem is decomposed into five independent LCEP problems based on real-life situations. For each of these five LCEP problems, a mathematical model is proposed. For generating the five proposed mathematical models for any given data, LINGO Set Codes have been developed. In order to validate the proposed mathematical models, data was collected from the Karnataka state electricity system. For the collected data, the proposed mathematical models are generated using the LINGO Set Codes and solved using LINGO. From the optimal solutions, insights are drawn on the impact and effectiveness of low carbon interventions on the present electricity system which is in a transition towards a low carbon electricity system. It is our belief that the proposed mathematical models can act as a basis for introducing any new low carbon interventions such as energy efficiency certificates, auction based tariff mechanisms for renewable energy pricing, and other new REC interventions in the future scope.
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Books on the topic "Energy policy Australia Mathematical models"

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Mathematical economics of multi-level optimisation: Theory and application. Heidelberg: Physica-Verlag, 1998.

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Jean-Baptiste, Lesourd, Percebois Jacques, and Valette François, eds. Models for energy policy. London: Routledge, 1996.

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Sengupta, Ramprasad. Energy modelling for India: Towards a policy for commercial energy. New Delhi: Planning Commission, Govt. of India, 1993.

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W, Bunn Derek, and Larsen Erik R, eds. Systems modelling for energy policy. Chichester: Wiley, 1997.

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P, Weyant John, ed. Energy and environmental policy modeling. Boston: Kluwer Academic Publishers, 1999.

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Agency, International Energy, ed. Mapping the energy future: Energy modelling and climate change policy. Paris: International Energy Agency, 1998.

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1942-, Meier Peter, ed. Energy policy analysis and modeling. Cambridge [England]: Cambridge University Press, 1993.

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Carabulea, A. Models of real and optimum energy balances. Amsterdam: Elsevier, 1990.

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ZInthraprawit, Dūangc̆hai Z. Development of analytic methodologies to incorporate renewable energy in domestic energy and economic planning. Honolulu, Hawaii, USA: APEC Secretariat, 1999.

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Taiwan neng yuan mi ji du fen xi. Taibei Shi: Zhonghua jing ji yan jiu yuan, 1994.

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Book chapters on the topic "Energy policy Australia Mathematical models"

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Gallo, Federico, Pierluigi Contucci, Adam Coutts, and Ignacio Gallo. "Tackling Climate Change Through Energy Efficiency: Mathematical Models to Offer Evidence-Based Recommendations for Public Policy." In Applications of Mathematics in Models, Artificial Neural Networks and Arts, 131–46. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8581-8_7.

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