Dissertation > Excellent graduate degree dissertation topics show

Research on Bid Evaluation Method of Power Procurement Based on Support Vector Regression

Author: LiZuo
Tutor: LiBo
School: Tianjin University
Course: Management Science and Engineering
Keywords: Electric Equipment Bidding Evaluation Support Vector Machine Optimazition Algorithm
CLC: F224
Type: Master's thesis
Year: 2010
Downloads: 56
Quote: 0
Read: Download Dissertation

Abstract


In China, the Electric Power Industry is a foundamental industry which has something to do with the national economy and the people’s livelihood, it takes on heavy responsibilities in providing the engine for development of national economy, it has ability to protect people’s livelihood and maintain the stability of society. Since the reform and opening up, rapid development of China’s economy had improved people’s material and cultural living standards, also stimulated the demand for electricity consumption in China, promoted large-scale construction and development of China’s power industry. Bidding is the primary means to get equipment and materials for power grid companies, and bidding evaluation is a core part of the bidding process, its rationality and fairness is directly related to the quality of equipment and operating efficiency of the grid company. Traditional evaluation methods more or less exist limitations. It is an important issue facing the evaluation organization to develop and apply the new evaluation method.The author has studied in the selection of evaluation methods in power grid’s bidding, put over an evaluation model based on the theory of support vector machine.Firstly, The author has introduced bidding’s theoretical background and the present situation of bidding in power industry, analyzed advantages and disadvantages of some traditional evaluation methods;Secondly, The author has elaborated the theory and principle of support vector machine, introduced solving procedure of support vector regression, described the basic idea of two optimization in parameters; then analyzed the applicability of support vector machine, put forward the idea of applying support vector regression in the evaluation process. Considering to the Characteristics in power biding, the author has established a rational and practical evaluation system as an example of supplies, analyzed meaning and quantization of each index in detail. Then established the evaluation model based on support vector machine.Thirdly,Took example for an evaluation in bidding of a power gid company, The author established the model, Using the grid search algorithm and particle swarm optimization to optimize the parameters, then get the optimal model for the case data, and tested and analyzed the learning performance of model under the two search parameters.Finally, the author simulated an evaluation in power grid’s equipment procurement. And described the significance of the model’s application in evaluation practice.Further, The author pointed out the inadequacies of the paper, and from another point of view, the author preliminarily studied in how to improve the model’s learning and promoting ability, provided a new way of thinking for further study in the future.

Related Dissertations

  1. Research on Automatic Detection Algorithm for Substructure Distress of Highway Pavement Based on SVM,U418.6
  2. Research on Autamatic Music Structrue Analysis,TN912.3
  3. Research on Transductive Support Vector Machine and Its Application in Image Retrieval,TP391.41
  4. Fault Diagnosis Method Based on Support Vector Machine,TP18
  5. Process Support Vector Machine and Its Application to Satellite Thermal Equilibrium Temperature Prediction,TP183
  6. Research for Infrared Image Target Identification and Tracking Technology,TP391.41
  7. Study on the Road Condition Monitoring Based on Vehicular 3D Acceleration Sensor,TP274
  8. Research of Diagnosing Cucumber Diseases Based on Hyperspectral Imaging,S436.421
  9. The Research on Intrusion Detection System Based on Machine Learning,TP393.08
  10. Research on Improved K Neighbor Support Vector Machine Algorithm Faced Text Classification,TP391.1
  11. Research on Face Recognition Based on AdaBoost Algorithm,TP391.41
  12. Research on Feature Extraction, Selection and Classification Algorithms for Pulmonary CAD,TP391.41
  13. Research on Subimage Selection and Mathching Method for Synthetic Aperture Radar(SAR) Target Recognition,TN957.52
  14. Research of Facial Expression Recognition Algorithm,TP391.41
  15. Fundus Image Segmentation Based on SVM and Template Matching,TP391.41
  16. Research and Realization of License Plate Character Recognition Algorithm Based on SVM,TP391.41
  17. Cloud Classification Based on Geostationary Meteorological Satellite Imagery,TP391.41
  18. The Studies on Some Improvements of the GA and Their Applications in SVM,TP18
  19. The Research and Implementation of the Fault Management System for Triple Play,TP315
  20. Modulation Classification Algorithms of Digital Communication Signals,TN914.3
  21. Computer virus detection method,TP309.5

CLC: > Economic > Economic planning and management > Economic calculation, economic and mathematical methods > Economic and mathematical methods
© 2012 www.DissertationTopic.Net  Mobile