Author: Publisher:
ISBN:
Category : Energy consumption
Languages : en
Pages : 238
Book Description
Energy Demand Forecast Methods Report
Author: Energy Demand: Facts and Trends
Author: B. ChateauPublisher: Springer
ISBN: 9783709186411
Category : Business & Economics
Languages : en
Pages : 0
Book Description
The fIrst oil crisis of 1973-74 and the questions it raised in the economic and social fIelds drew attention to energy issues. Industrial societies, accustomed for two decades or more to energy sufficiently easy to produce and cheap to consume that it was thought to be inexhaustible, began to question their energy future. The studies undertaken at that time, and since, on a national, regional, or world level were over-optimistic. The problem seemed simple enough to solve. On the one hand, a certain number of resources: coal, the abundance of which was discovered, or rather rediscovered oil, source of all the problems ... In fact, the problems seemed to come, if not from oil itself (an easy explanation), then from those who produced it without really owning it, and from those who owned it without really control ling it natural gas, second only to oil and less compromised uranium, all of whose promises had not been kept, but whose resources were not in question solar energy, multiform and really inexhaustible thermonuclear fusion, and geothermal energy, etc. On the other hand, energy consumption, though excessive perhaps, was symbolic of progress, development, and increased well being. The originality of the energy policies set up since 1974 lies in the fact they no longer aimed to produce (or import) more, but to consume less. They sought, and still seek, what might be emphatically called the control of energy consump tion, or rather the control of energy demand.
Fuzzy Information and Engineering 2010
Author: Bing-Yuan CaoPublisher: Springer Science & Business Media
ISBN: 3642148808
Category : Technology & Engineering
Languages : en
Pages : 793
Book Description
This book is the proceedings of the 5th Annual Conference on Fuzzy Information and Engineering (ACFIE2010) from Sep. 23-27, 2010 in Huludao, China. This book contains 89 papers, divided into five main parts: In Section I, we have 15 papers on “the mathematical theory of fuzzy systems”. In Section II, we have 15 papers on “fuzzy logic, systems and control”. In Section III, we have 24 papers on “fuzzy optimization and decision-making”. In Section IV, we have 17 papers on “fuzzy information, identification and clustering”. In Section V, we have 18 papers on “fuzzy engineering application and soft computing method”.
International Energy Outlook
Author: Emerging Methods in Predictive Analytics: Risk Management and Decision-Making
Author: Hsu, William H.Publisher: IGI Global
ISBN: 1466650648
Category : Business & Economics
Languages : en
Pages : 447
Book Description
Decision making tools are essential for the successful outcome of any organization. Recent advances in predictive analytics have aided in identifying particular points of leverage where critical decisions can be made. Emerging Methods in Predictive Analytics: Risk Management and Decision Making provides an interdisciplinary approach to predictive analytics; bringing together the fields of business, statistics, and information technology for effective decision making. Managers, business professionals, and decision makers in diverse fields will find the applications and cases presented in this text essential in providing new avenues for risk assessment, management, and predicting the future outcomes of their decisions.
Forecasting U.s. Electricity Demand
Author: Adela Maria BoletPublisher: Routledge
ISBN: 0429691459
Category : Political Science
Languages : en
Pages : 292
Book Description
Although the energy headlines of 1985 proclaim the waning of OPEC, the collapse of oil prices, and the demise of the nuclear power industry, few policy analysts are examining the dynamic challenges and opportunities that may confront the electric power industry during the remainder of this century. In this pioneering work, Adela Maria Bolet attempts to do exactly this, namely, to reconcile the differences among forecasters as to the future of electricity demand in the industrial, commercial, and residential sectors.
Energy Abstracts for Policy Analysis
Author: Data Center Handbook
Author: Hwaiyu GengPublisher: John Wiley & Sons
ISBN: 1118436636
Category : Computers
Languages : en
Pages : 720
Book Description
Provides the fundamentals, technologies, and best practices in designing, constructing and managing mission critical, energy efficient data centers Organizations in need of high-speed connectivity and nonstop systems operations depend upon data centers for a range of deployment solutions. A data center is a facility used to house computer systems and associated components, such as telecommunications and storage systems. It generally includes multiple power sources, redundant data communications connections, environmental controls (e.g., air conditioning, fire suppression) and security devices. With contributions from an international list of experts, The Data Center Handbook instructs readers to: Prepare strategic plan that includes location plan, site selection, roadmap and capacity planning Design and build "green" data centers, with mission critical and energy-efficient infrastructure Apply best practices to reduce energy consumption and carbon emissions Apply IT technologies such as cloud and virtualization Manage data centers in order to sustain operations with minimum costs Prepare and practice disaster reovery and business continuity plan The book imparts essential knowledge needed to implement data center design and construction, apply IT technologies, and continually improve data center operations.
Forecasting and Assessing Risk of Individual Electricity Peaks
Author: Maria JacobPublisher: Springer Nature
ISBN: 303028669X
Category : Mathematics
Languages : en
Pages : 108
Book Description
The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cross-section of popular demand forecasting algorithms from statistics, machine learning and mathematics is presented, followed by extreme value theory techniques with examples. In order to achieve carbon targets, good forecasts of peaks are essential. For instance, shifting demand or charging battery depends on correct demand predictions in time. Majority of forecasting algorithms historically were focused on average load prediction. In order to model the peaks, methods from extreme value theory are applied. This allows us to study extremes without making any assumption on the central parts of demand distribution and to predict beyond the range of available data. While applied on individual loads, the techniques described in this book can be extended naturally to substations, or to commercial settings. Extreme value theory techniques presented can be also used across other disciplines, for example for predicting heavy rainfalls, wind speed, solar radiation and extreme weather events. The book is intended for students, academics, engineers and professionals that are interested in short term load prediction, energy data analytics, battery control, demand side response and data science in general.
Deconstructing the Rosenfeld Curve
Author: Anant SudarshanPublisher: Stanford University
ISBN:
Category :
Languages : en
Pages : 198
Book Description
California's energy efficiency policies and energy use patterns have attracted widespread national and international interest. Over the last three decades, the state has implemented a variety of regulatory and legislative measures aimed at reducing the demand for energy, through encouraging more efficient consumption. In a startling contrast to the nation as a whole, the state electricity consumption per capita has stayed relatively steady since 1970. A comparative graph of the state and national electricity intensities is called the Rosenfeld Curve, named after the influential former Commissioner of the California Energy Commission. This thesis examines the structural determinants of electricity consumption with a view to answering the question -- What fraction of the state-nation difference in electricity consumption intensity might reasonably be attributed to policy interventions? I begin with a simple decomposition analysis of the residential, industrial and commercial sectors, using empirical data from a variety of sources. I find that over two-thirds of the difference between state and national energy intensity may be attributed to structural factors that are independent of policy interventions, leaving a smaller, unexplained portion that could owe to program interventions (a share that has increased over time). I next consider the residential sector in detail, a topic that is the primary focus of my thesis. I describe residential consumption of electricity and secondary heating fuels, using a structural model of household energy demand estimated using micro-data from the period between 1993 and 2005. In doing so, I account for heterogeneity in household types in the population. After controlling for structural factors such as climate, I find evidence suggesting that policy may have been particularly effective in reducing the energy needed for heating and cooling end uses. I also find evidence of increasing policy effects over the ten years between 1995 and 2005. Additionally, the model suggests that incentive compatibility considerations may have resulted in inefficiently high energy consumption in rented dwellings. Overall, the econometric model indicates about 20 percent of the state nation difference in the residential sector may owe to program effects. These results are interesting as a retrospective look at the California experience, but more importantly as a benchmark of what might reasonably be expected from energy efficiency elsewhere in the world. They also underline the importance of using counterfactual policy evaluation techniques instead of comparisons of aggregate statistics in understanding policy impact.