EFFECT OF TRIANGULAR AND GAUSSIAN MEMBERSHIP FUNCTIONS IN FUZZY TIME SERIES FORECASTING: A CASE STUDY OF ELECTRIC LOAD FORECASTING

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📄 Project Abstract

Fuzzy Time Series (FTS) plays a great role in fuzzification of data, which is based on certain membership functions. In this thesis, a 24 weeks load demand data from PHCN was used and fuzzified based on the Gaussian Membership Functions, after that all fuzzified data are defuzzified to get normal form. The results obtained using the GMF (Gaussian Membership Functions) is compared with that of the TMF (Triangular Membership Function), from which the comparison basis was based on, qualitative performance indicator and statistical error. The RMSE Values obtained using the GMF and the TMF are 66.5 and 17.1 respectively, while their correlation factor R is 0.98 for TMF and 0.86 for GMF. From the analysis carried out the TMF generated the least RMSE and hence, is more suitable in forecasting for electric load.

🔍 Key Research Areas Covered
  • ✅ Literature Review & Theoretical Framework
  • ✅ Research Methodology & Data Collection
  • ✅ Data Analysis & Statistical Methods
  • ✅ Findings & Results Discussion
  • ✅ Recommendations & Conclusions
  • ✅ References & Bibliography
📚 Complete Project Structure
Chapter 1: Introduction & Background
  • Problem Statement & Objectives
Chapter 2: Literature Review
  • Theoretical Framework & Related Studies
Chapter 3: Research Methodology
  • Data Collection & Analysis Methods
Chapter 4: Data Analysis & Results
  • Findings & Statistical Analysis
Chapter 5: Discussion & Conclusion
  • Recommendations & Future Research
Appendices: Supporting Documents
  • Questionnaires, Data, References
⭐ Why Choose This Electrical And Computer Engineering Project Topics Project?
🎯 Well-Researched

Thoroughly researched with current and relevant sources

📊 Complete Data

Includes statistical analysis and detailed findings

✍️ Original Content

100% original research with proper citations

📝 Properly Formatted

APA/MLA formatting with table of contents

🎓 Supervisor Approved

Meets university standards and requirements

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💬 What Students Say

"This project provided excellent guidance for my Electrical And Computer Engineering Project Topics research. The methodology was clear and the data analysis helped me understand the proper approach."

— Final Year Student, Engineering Project Topics
Full Citation:

ZUBAIR NANA HAUWA. (). EFFECT OF TRIANGULAR AND GAUSSIAN MEMBERSHIP FUNCTIONS IN FUZZY TIME SERIES FORECASTING: A CASE STUDY OF ELECTRIC LOAD FORECASTING. African and General Studies, 40, 14858.

Citation Formats:
APA
ZUBAIR NANA HAUWA. (). EFFECT OF TRIANGULAR AND GAUSSIAN MEMBERSHIP FUNCTIONS IN FUZZY TIME SERIES FORECASTING: A CASE STUDY OF ELECTRIC LOAD FORECASTING. African and General Studies, 40, 14858.
MLA
ZUBAIR NANA HAUWA. "EFFECT OF TRIANGULAR AND GAUSSIAN MEMBERSHIP FUNCTIONS IN FUZZY TIME SERIES FORECASTING: A CASE STUDY OF ELECTRIC LOAD FORECASTING." African and General Studies, vol. 40, , pp. 14858.
Chicago
ZUBAIR NANA HAUWA. "EFFECT OF TRIANGULAR AND GAUSSIAN MEMBERSHIP FUNCTIONS IN FUZZY TIME SERIES FORECASTING: A CASE STUDY OF ELECTRIC LOAD FORECASTING." African and General Studies 40 (): 14858.
Full Citation:

ZUBAIR NANA HAUWA. (). EFFECT OF TRIANGULAR AND GAUSSIAN MEMBERSHIP FUNCTIONS IN FUZZY TIME SERIES FORECASTING: A CASE STUDY OF ELECTRIC LOAD FORECASTING. African and General Studies, 40, 14858.

Citation Formats:
APA
ZUBAIR NANA HAUWA. (). EFFECT OF TRIANGULAR AND GAUSSIAN MEMBERSHIP FUNCTIONS IN FUZZY TIME SERIES FORECASTING: A CASE STUDY OF ELECTRIC LOAD FORECASTING. African and General Studies, 40, 14858.
MLA
ZUBAIR NANA HAUWA. "EFFECT OF TRIANGULAR AND GAUSSIAN MEMBERSHIP FUNCTIONS IN FUZZY TIME SERIES FORECASTING: A CASE STUDY OF ELECTRIC LOAD FORECASTING." African and General Studies, vol. 40, , pp. 14858.
Chicago
ZUBAIR NANA HAUWA. "EFFECT OF TRIANGULAR AND GAUSSIAN MEMBERSHIP FUNCTIONS IN FUZZY TIME SERIES FORECASTING: A CASE STUDY OF ELECTRIC LOAD FORECASTING." African and General Studies 40 (): 14858.
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