Dissertation > Excellent graduate degree dissertation topics show

Research on Forecasting System of Classified Load of Power Energy Consumption

Author: XiongLei
Tutor: YanWei；TanGang
School: Chongqing University
Course: Software Engineering
Keywords: Load forecasting BP neural network Matlab Electricity sales
CLC: TP319
Type: Master's thesis
Year: 2007
Downloads: 80
Quote: 0
Read: Download Dissertation

Abstract


Load forecasting power system scheduling, management of electricity , plans and planning departments . Load changes by a variety of factors in the socio-economic , policy , weather and people's lives and production , with the notable features of the time , the region , the development and changes in the classification differences . How effective high-quality load forecasting has been to focus on the content of the electricity production sector as well as academics . The existing research is mainly concentrated in the region integrated load forecasting , the lack of classification load forecasting . This not only affects the accuracy of load forecasting , but also affect the effective management of the electricity sector classification load . Papers combined company City Power Supply Bureau , Chongqing Electric Power actual subject \models and methods , and the initial development of the software system . Obviously, the thesis has important theoretical and engineering application value . The main research results are as follows : The paper introduces the basic principle of BP neural network classification load forecasting method , a detailed analysis of the characteristics of a variety of factors such as weather , time , economic and load mutation classification load changes , the abnormal data preprocessing methods , as well as temperature data fuzzification way , laid the foundation for the reasonable establishment of the classification samples of neural network model for load forecasting . Firstly, according to the tariff , electricity , nature and monthly electricity sales data sources of different the Chongqing City Power Supply Bureau loads divided into nine categories . Then take full account of the specific characteristics of each load by mutations in the amount of time , weather and load impact to create a neural network prediction model . Finally , through a variety of combinations of sample input and simulation comparison analysis to determine the appropriate classification of load neural network prediction sample model . Matlab-based environment , the the paper initial development of the city power supply bureau classification load electricity sales forecasting software . The software can basically meet the needs of user queries on the the classification load monthly electricity sales data entry and the neural network prediction results .

Related Dissertations

  1. Design of Reciprocatingwire Outfit of Mwedmand Research on It’s Control System,TG484
  2. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  3. Research on Visual Servo System of Mechanical ARM,TP242.6
  4. Application Research of Digital Image Processing on Container Inspection,TP274.4
  5. Municipal tourism land use planning environmental impact assessment,X820.3
  6. Study on Taste Characteristic of Taste Peptide Enzymatic Production from Oyster Base on A Neural Network Method,TS254.4
  7. S-lay Installation Analysis for Deepwater Pipeline,TE973
  8. The Research and Application of Software Reliability Test for User Right Management System,TP311.53
  9. Mining resources based on genetic algorithm optimization model of,O224
  10. The Simulation Technology Study of Marine Gas Turbine Based on Modular Modeling,U674.703
  11. Research on Support Vector Regression in Prediction of the Short-term Load of Power System,TM715;F224
  12. The Basic Study on Semi-active Control of Damping Controlled to Serial Robot,TB535.1
  13. Research on Automatic Reading System for Digital Meters,TP391.41
  14. Study on Industrial Boiler Water Level Control System,TP273
  15. The Research of Evaluation Method in Connect6 Based on BP-TD Learning,TP18
  16. Research on State Diagnosis on Fan Based on Factor Analysis and BP Neural Network,F426.61
  17. The issue of information sharing between the manufacturer of the same level in the supply chain environment,F406;F224.32
  18. Research of the Electrode Lifting Hydraulic System of the 60t Electric Arc Furnace,TF748.41
  19. Research of Control Strategy Based on the Electro-hydraulic Proportional Position Control System,TH137.52
  20. In-furnace Temperature Information Included Combustion Optimization of a Utility Boiler,TK227.1
  21. Research on Distribution Network Planning of Luogang District,TM715

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Specific applications
© 2012 www.DissertationTopic.Net  Mobile