Short-Term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy

Recently, wind speed forecasting as an effective computing technique plays an important role in advancing industry informatics, while dealing with these issues of control and operation for renewable power systems. However, it is facing some increasing difficulties to handle the large-scale dataset generated in these forecasting applications, with the purpose of ensuring stable computing performance. In response to such limitation, this paper proposes a more practical approach through the combination of extreme-learning machine (ELM) method and deep-learning model. ELM is a novel computing paradigm that enables the neural network (NN) based learning to be achieved with fast training speed and good generalization performance. The stacked ELM (SELM) is an advanced ELM algorithm under deep-learning framework, which works efficiently on memory consumption decrease. In this paper, an enhanced SELM is accordingly developed via replacing the Euclidean norm of the mean square error (MSE) criterion in ELM with the generalized correntropy criterion to further improve the forecasting performance. The advantage of the enhanced SELM with generalized correntropy to achieve better forecasting performance mainly relies on the following aspect. Generalized correntropy is a stable and robust nonlinear similarity measure while employing machine learning method to forecast wind speed, where the outliers may exist in some industrially measured values. Specifically, the experimental results of short-term and ultra-short-term forecasting on real wind speed data show that the proposed approach can achieve better computing performance compared with other traditional and more recent methods

Short-Term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy

Recently, wind speed forecasting as an effective computing technique plays an important role in advancing industry informatics, while dealing with these issues of control and operation for renewable power systems. However, it is facing some increasing difficulties to handle the large-scale dataset generated in these forecasting applications, with the purpose of ensuring stable computing performance. In response to such limitation, this paper proposes a more practical approach through the combination of extreme-learning machine (ELM) method and deep-learning model. ELM is a novel computing paradigm that enables the neural network (NN) based learning to be achieved with fast training speed and good generalization performance. The stacked ELM (SELM) is an advanced ELM algorithm under deep-learning framework, which works efficiently on memory consumption decrease. In this paper, an enhanced SELM is accordingly developed via replacing the Euclidean norm of the mean square error (MSE) criterion in ELM with the generalized correntropy criterion to further improve the forecasting performance. The advantage of the enhanced SELM with generalized correntropy to achieve better forecasting performance mainly relies on the following aspect. Generalized correntropy is a stable and robust nonlinear similarity measure while employing machine learning method to forecast wind speed, where the outliers may exist in some industrially measured values. Specifically, the experimental results of short-term and ultra-short-term forecasting on real wind speed data show that the proposed approach can achieve better computing performance compared with other traditional and more recent methods

Regional update

Economic conditions - United States ; Economic indicators ; Labor market ; Texas

Case Studies of the Potential Effects of Carbon Taxation on the Stone, Clay, and Glass Industry

This case study focuses on the potential for a carbon tax ($25 and$100 per metric ton of carbon) to reduce energy use and associated carbon dioxide (CO{sub 2}) emissions in three subsectors of the stone, clay, and glass industry: hydraulic cement, glass and glass products, and other products. A conservation supply curve analysis found that (1) opportunities for reducing fossil fuel use in the subsectors are limited (15% reduction under $100 tax) and (2) the relationship between the tax and reduced CO{sub 2} emissions is nonlinear and diminishing. Because cement manufacturing produces a significant amount of CO{sub 2}, this subsector was analyzed. A plant-level analysis found more opportunities to mitigate CO{sub 2} emissions; under a$100 tax, fossil fuel use would decrease 52%. (A conservative estimate lies between 15% and 52%). It also confirmed the nonlinear relationship, suggesting significant benefits could result from small taxes (32% reduction under $25 tax). A fuel share analysis found the cement industry could reduce carbon loading 11$100 tax if gas were substituted for coal. Under a $100 tax, cement demand would decrease 17$100 tax and 10--18% under a $25 tax. Much of the decrease would result from the reduced demand for cement

Summary of the Active Microwave Workshop, chapter 1

An overview is given of the utility, feasibility, and advantages of active microwave sensors for a broad range of applications, including aerospace. In many instances, the material provides an in-depth examination of the applicability and/or the technology of microwave remote sensing, and considerable documentation is presented in support of these techniques. An assessment of the relative strengths and weaknesses of active microwave sensor data indicates that satisfactory data are obtainable for several significant applications

Analysis of air quality management with emphasis on transportation sources

The current environment and practices of air quality management were examined for three regions: Denver, Phoenix, and the South Coast Air Basin of California. These regions were chosen because the majority of their air pollution emissions are related to mobile sources. The impact of auto exhaust on the air quality management process is characterized and assessed. An examination of the uncertainties in air pollutant measurements, emission inventories, meteorological parameters, atmospheric chemistry, and air quality simulation models is performed. The implications of these uncertainties to current air quality management practices is discussed. A set of corrective actions are recommended to reduce these uncertainties

Florida's Global Warming Solutions: A Study for: World Wildlife Fund

This report assesses how the set of national actions presented in America’s Global Warming Solutions would affect Florida’s energy systems, carbon emissions and economy. This study finds that by 2010, the set of national actions to reduce global warming would decrease Florida’s primary energy use by 26 percent and its carbon emissions by 36 percent. They would also provide increasing annual savings reaching about $300 per-capita in 2010 and averaging about$110 per-capita per year between now and 2010. Thus, the State would cumulatively save about $17 billion over that period. The set of national actions would also create approximately 39,000 net additional jobs in Florida by 2010. They would reduce emissions of other pollutants and begin to shift the basis of the State’s economy towards more advanced, energy-efficient technologies and cleaner resources. The table below summarizes these results

The Tannhäuser Gate. Architecture in science fiction films of the second half of the 20th and the beginning of the 21st century as a component of utopian and dystopian projections of the future.

The Tannhäuser Gate. Architecture in science fiction films of the second half of the 20th and the beginning of the 21st century as a component of utopian and dystopian projections of the future. The films of science fiction genre from the second half of the 20th and early 21st century contained many visions of the future, which were at the same time a reflection on the achievements and deficiencies of modern times. In 1960s, cinematographic works were dominated by optimism and faith in the possibility of never-ending progress. The disappearance of political divisions between the blocs of states and the joint exploration of the cosmos was foreseen. The designers undertook cooperation with scientists, which manifested itself in showing cosmic constructions far exceeding the real technical capabilities. Starting from the 1970s, pessimism and the belief that the future will bring, above all, the intensification of negative phenomena of the present began to grow in films. Fears of the future were connected with indicating various possible defects and insoluble contradictions between them. When, therefore, some dystopian visions illustrated the threat of increase in crime, others depicted the future as saturated with state control mechanisms and the prevalence of surveillance. The fears shown on the screens were also aroused by the growth of large corporations, especially by their gaining political influence or staying outside the system of democracy. The authors of the films also presented their suspicions related to the creation of new types of weapons by corporations, the use of which might breach the current legal norms. Particular objections concerned research on biological weapons and the possible spread of lethal viruses. The development of robotics and research into artificial intelligence, which must have resulted in the appearance of androids and inevitable tensions in their relations with humans, also triggered fear. Another problem for film-makers has become hybrids that are a combination of people and electronic parts. Scriptwriters and directors likewise considered the development of genetic engineering, which led to the creation of mutant human beings. A number of film dystopias contemplated the possibility of the collapse of democratic systems and the development of authoritarian regimes in their place, often based on broad public support. This kind of dystopia also includes films presenting the consequences of contemporary hedonism and consumerism. The problem is, however, that works critical of these phenomena were themselves advertisements for attractive products

An Interview with Paul A. Samuelson

This paper consists of the page proofs of W. A. Barnett's interview of Paul A. Samuelson, to appear in print in the journal, Macroeconomic Dynamics, in September 2004. To our knowledge, this is the first and only interview of Paul A. Samuelson published in a professional economics journal. In addition, this is the only interview conducted personally by the Editor of Macroeconomic Dynamics, William A. Barnett. The interview covers Samuelson's views on the economics profession from 1929 to the present and an overview of Samuelson's career as one of the greatest economists of all time.history of economic thought, Samuelson, macroeconomics, microeconomics, policy