The Predictive Characteristics of Energy Futures PDF Download
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Author: Menzie Chinn
Publisher:
ISBN:
Category : Energy consumption
Languages : en
Pages : 23
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Book Description
Author: Menzie Chinn
Publisher:
ISBN:
Category : Energy consumption
Languages : en
Pages : 23
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Book Description
Author: Menzie David Chinn
Publisher:
ISBN:
Category :
Languages : en
Pages : 16
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Book Description
This paper examines the relationship between futures and spot prices for energy commodities. In particular, we examine whether futures prices are (1) an unbiased predictor of subsequent spot prices and (2) whether futures prices are a good predictor of subsequent spot prices, in the crude oil, gasoline, heating oil markets and natural gas markets. We find that while futures prices are unbiased predictors of future spot prices in the first three markets, they are also fairly inaccurate predictors. Natural gas futures prices are both a biased predictor of subsequent spot prices at two of three horizons examined, and a poor predictor.
Author:
Publisher:
ISBN:
Category : Energy development
Languages : en
Pages :
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Book Description
Author: Fernando Sánchez Lasheras
Publisher: MDPI
ISBN: 303936619X
Category : Technology & Engineering
Languages : en
Pages : 148
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Book Description
Due to the increased capabilities of microprocessors and the advent of graphics processing units (GPUs) in recent decades, the use of machine learning methodologies has become popular in many fields of science and technology. This fact, together with the availability of large amounts of information, has meant that machine learning and Big Data have an important presence in the field of Energy. This Special Issue entitled “Predicting the Future—Big Data and Machine Learning” is focused on applications of machine learning methodologies in the field of energy. Topics include but are not limited to the following: big data architectures of power supply systems, energy-saving and efficiency models, environmental effects of energy consumption, prediction of occupational health and safety outcomes in the energy industry, price forecast prediction of raw materials, and energy management of smart buildings.
Author: Ravinesh Deo
Publisher: Elsevier
ISBN: 012817773X
Category : Science
Languages : en
Pages : 553
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Book Description
Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets. Presents advanced optimization techniques to improve existing energy demand system Provides data-analytic models and their practical relevance in proven case studies Explores novel developments in machine-learning and artificial intelligence applied in energy management Provides modeling theory in an easy-to-read format
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 530
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Book Description
Author: Rathin Roy
Publisher: Routledge
ISBN: 1136565671
Category : Business & Economics
Languages : en
Pages : 523
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Book Description
With the deadline for achieving the 2015 Millennium Development Goals (MDGs) less than a decade away, the uneven progress is raising important questions about the ability of the international community to 'scale up' its efforts to finance the goals. Securing adequate financing for development has thus become the most pressing issue of the development agenda. This groundbreaking volume, by leading development economists and practitioners, addresses the central concern for policymakers involved in long term planning for the MDGs: how to create 'fiscal space' for the MDGs and strengthen domestic resource mobilization for human development, while ensuring long-term sustainability and freedom from reliance on aid. By looking at the evidence with fresh perspectives, the authors present a novel approach by which fiscal policy can be made to work for the poor, for the long term. Published with UNDP and Revenue Watch.
Author: Cindy Wai Sze Ma
Publisher:
ISBN:
Category :
Languages : en
Pages : 412
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Book Description
Author: Brian F. Towler
Publisher: Academic Press
ISBN: 0128010657
Category : Technology & Engineering
Languages : en
Pages : 389
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Book Description
Using the principle that extracting energy from the environment always involves some type of impact on the environment, The Future of Energy discusses the sources, technologies, and tradeoffs involved in meeting the world's energy needs. A historical, scientific, and technical background set the stage for discussions on a wide range of energy sources, including conventional fossil fuels like oil, gas, and coal, as well as emerging renewable sources like solar, wind, geothermal, and biofuels. Readers will learn that there are no truly "green" energy sources—all energy usage involves some tradeoffs—and will understand these tradeoffs and other issues involved in using each energy source. Each potential energy source includes discussions of tradeoffs in economics, environmental, and policy implications Examples and cases of implementing each technology are included throughout the book Technical discussions are supported with equations, graphs, and tables Includes discussions of carbon capture and sequestration as emerging technologies to manage carbon dioxide emissions
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Long-range energy policy analysis requires a mechanism for characterizing key structural features of a nation's economic system. It is shown that energy-analysis techniques are well-suited to such applications, particularly over time horizons beyond the reach of econometric methodologies. Trade-offs between aggregation and uncertainty are discussed as a function of time horizon. For alternative energy futures, special attention is given to the assessment of impacts on lifestyles, technology, and employment.
