Date of Award
2015
Publisher
North Dakota State University
Document Type
Master's Paper
Degree Awarded
Master of Science (MS)
Program
Computer Science
Department
Computer Science
College
Engineering
Faculty Advisor
Nygard, Kendall
Description
As the economy is growing, electricity usage has been growing and to meet the needs of energy market in providing the electricity without power outages, utility companies, distributors and investors need a powerful tool that can effectively predict electricity demand day ahead that can help them in making better decisions in inventory planning, power generation, and resource management. Historical data is a great source that can be used with artificial neural networks to predict electricity demand effectively with a decent error rate of 0.06.
Recommended Citation
Param, Sowjanya, "Electricity Demand Prediction Using Artificial Neural Network Framework" (2015). Computer Science. 281.
https://digitalcommons.ndsu.edu/computer-sci/281
Rights
NDSU Policy 190.6.2
Rights Link
https://www.ndsu.edu/fileadmin/policy/190.pdf
Handle Identifier
https://hdl.handle.net/10365/25233