SHORT-TERM ELECTRIC POWER FORECAST IN THE NIGERIAN POWER SYSTEM USING ARTIFICIAL NEURAL NETWORK

You have 10 free previews remaining
Previews reset on: Oct 31, 2025
Preview attempts remaining: 10 10 remaining

📄 Project Abstract

This thesis is a study of short-term electric power forecasting in the Nigerian power system using artificial neural network model. The model is created in the form of a simulation program written with MATLAB tool. The model, a multilayer time-delayed feed-forward artificial neural network trained with error back propagation algorithm, was made to study the pre-historical load pattern of a typical Nigerian power system in a supervised training manner. After presenting the model with a reasonable number of training samples, the model could forecast correctly electric power supply in the Nigerian power system 24 hours in advance. An absolute mean error of 4.27% was obtained when the trained neural network model was tested on one week, daily hourly load data of a typical Nigerian power station. This result demonstrates that ANN is a powerful

🔍 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 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

⚡ Instant Download

Immediate access after purchase

💬 What Students Say

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

— Final Year Student, Education project topics
Full Citation:

NWEKE EGEDE F.. (). SHORT-TERM ELECTRIC POWER FORECAST IN THE NIGERIAN POWER SYSTEM USING ARTIFICIAL NEURAL NETWORK. African and General Studies, 40, 14858.

Citation Formats:
APA
NWEKE EGEDE F.. (). SHORT-TERM ELECTRIC POWER FORECAST IN THE NIGERIAN POWER SYSTEM USING ARTIFICIAL NEURAL NETWORK. African and General Studies, 40, 14858.
MLA
NWEKE EGEDE F.. "SHORT-TERM ELECTRIC POWER FORECAST IN THE NIGERIAN POWER SYSTEM USING ARTIFICIAL NEURAL NETWORK." African and General Studies, vol. 40, , pp. 14858.
Chicago
NWEKE EGEDE F.. "SHORT-TERM ELECTRIC POWER FORECAST IN THE NIGERIAN POWER SYSTEM USING ARTIFICIAL NEURAL NETWORK." African and General Studies 40 (): 14858.
Full Citation:

NWEKE EGEDE F.. (). SHORT-TERM ELECTRIC POWER FORECAST IN THE NIGERIAN POWER SYSTEM USING ARTIFICIAL NEURAL NETWORK. African and General Studies, 40, 14858.

Citation Formats:
APA
NWEKE EGEDE F.. (). SHORT-TERM ELECTRIC POWER FORECAST IN THE NIGERIAN POWER SYSTEM USING ARTIFICIAL NEURAL NETWORK. African and General Studies, 40, 14858.
MLA
NWEKE EGEDE F.. "SHORT-TERM ELECTRIC POWER FORECAST IN THE NIGERIAN POWER SYSTEM USING ARTIFICIAL NEURAL NETWORK." African and General Studies, vol. 40, , pp. 14858.
Chicago
NWEKE EGEDE F.. "SHORT-TERM ELECTRIC POWER FORECAST IN THE NIGERIAN POWER SYSTEM USING ARTIFICIAL NEURAL NETWORK." African and General Studies 40 (): 14858.
Need Help?