予防歯科プログラムの選考に関する Discrete Choice Analysis

Using Contingent Valuation to Explore Willingness to Pay for Renewable Energy: A Comparison of Collective and Voluntary Payment Vehicles Ryan H. Wiser 1 Lawrence Berkeley National Laboratory 1 Cyclotron Rd., MS 90-4000, Berkeley, California 94720 Abstract This study uses a split-sample, dichotomous choice contingent valuation survey of 1,574 U.S. residents to explore willingness to pay (WTP) for renewable energy under collective and voluntary payment vehicles, and under government and private provision of the good. We also evaluate the impact of “participation expectations” on stated WTP. We find some evidence that, when confronted with a collective payment mechanism, respondents state a somewhat higher WTP than when voluntary payment mechanisms are used. Similarly, private provision of the good elicits a somewhat higher WTP than does government provision. We also find that contingent valuation responses are strongly correlated with expectations for the WTP of others. Our results shed light on strategic response behavior and the incentive compatibility of different CV designs, and offer practical insight into U.S. household preferences for how to support renewable energy. Keywords: Contingent valuation; Renewable energy; Willingness to pay; Payment vehicles Introduction Some of the most basic questions about the organization and functioning of society involve issues raised by the existence of public goods. With respect to environmental public goods, how should funds used to support environmental improvement be collected and used? In particular, are collective, mandatory payments superior to voluntary, charitable payments due to the possibility of free riding? And to what degree should the government be involved in spending these funds: should Corresponding author. Tel.: 1-510-486-5474; fax: 1-510-486-6996. E-mail address: rhwiser@lbl.gov (Ryan H. Wiser).

Using Contingent Valuation to Explore Willingness to Pay for Renewable Energy: A Comparison of Collective and Voluntary Payment Vehicles

A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series

The targeted audience for this book is graduate students in engineering and medical statistics courses, and it may be useful for a senior undergraduate statistics course. To get the maximum benefit from this book, one should have a good knowledge and understanding of calculus and sufficient background in elementary probability theory to understand the central limit theorem and the law of large numbers. Some more sophisticated probability terminologies and concepts are defined for a smooth reading of the monograph. This monograph has 10 chapters, including the introduction. Chapter 2 deals with the ageing concept and some usual parametric families of probability distribution are presented in Chapter 3. Parametric and nonparametric statistical inference are nicely treated in Chapters 4 and 5. Chapter 5 also offers tests for exponentiality, which is one of the main feature of the monograph. Chapters 7 and 8 cover two-sample and regression problems, respectively. All of the preceding chapters showcase results for both complete and censored data. One of the interesting contributions is with regard to the analysis of competing risk, which is presented in Chapter 9. Finally, Chapter 10 introduces repairable systems. One of the main strengths of this book is that it introduces the public domain R software and nicely explains how it can be used in computations of methods presented in the book. This book has sufficient material and examples to cover a one semester (13week) course. However, I would be reluctant to adopt this book for one simple reason—there are no exercises. Having said that, the monograph would be useful to some applied researchers in related fields.

Handbook of Statistical Distributions with Applications

A comprehensive review on the methods used for fault detection, classification and location in transmission lines and distribution systems is presented in this study. Though the three topics are highly correlated, the authors try to discuss them separately, so that one may have a more logical and comprehensive understanding of the concepts without getting confused. Great significance is also attached to the feature extraction process, without which the majority of the methods may not be implemented properly. Fault detection techniques are discussed on the basis of feature extraction. After the overall concepts and general ideas are presented, representative works as well as new progress in the techniques are covered and discussed in detail. One may find the content of this study helpful as a detailed literature review or a practical technical guidance.

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Fault detection, classification and location for transmission lines and distribution systems: a review on the methods

Fault location in a series compensated transmission line based on wavelet packet decomposition and support vector regression

Fault location in transmission lines based on stationary wavelet transform, determinant function feature and support vector regression

This study proposes a novel fault feature extraction that could be used in fault detection and classification schemes for power system transmission lines, based on single-end measurements using time shift invariant property of a sinusoidal waveform. Various types of faults at different locations, fault resistance and fault inception angles on a 400 kV 361.65 km power system transmission line are investigated. The determinant function is used to extract distinctive fault features over various data window sizes namely, 1/4, 1/2 and a cycle of post-fault data. In addition, various delays were introduced before taking the post-fault measurements. The performance of the feature extraction scheme was tested on a machine intelligent platform WEKA by using three types of feature selection techniques: information gain, gain ratio and SVM. The result shows that, the determinant function defined over the phase current and neutral current is sufficient to classify ten types of short-circuit faults on doubly fed transmission lines; however, the scheme did not differentiate between 3 phase line faults (LLL) and 3 phase lines to ground faults (LLLG), the two types of faults are treated as the same type of fault, balanced fault. An accuracy between 95.95 and 100 is achieved.

Adedayo A. Yusuff

Papers

Fault location in a series compensated transmission line based on wavelet packet decomposition and support vector regression

Fault location in transmission lines based on stationary wavelet transform, determinant function feature and support vector regression

Determinant-based feature extraction for fault detection and classification for power transmission lines

Off-grid hybrid renewable energy system with hydrogen storage for South African rural community health clinic

Optimal design of wind-powered hydrogen refuelling station for some selected cities of South Africa