Modeling and Estimating of Load Demand of Electricity Generated from Hydroelectric Power Plants in Turkey using Machine Learning Methods
In this study, the electricity load demand, between 2012 and 2021, has been estimated using the load demand of the electricity generated from hydroelectric power plants in Turkey between 1970 and 2011. Among machine learning algorithms, Multilayer Perceptron, Locally Weighted Learning, Additive Re...
Main Authors: | DURSUN, B., AYDIN, F., ZONTUL, M., SENER, S. |
---|---|
Format: | Article |
Language: | English |
Published: |
Stefan cel Mare University of Suceava
2014-02-01
|
Series: | Advances in Electrical and Computer Engineering |
Subjects: | |
Online Access: | http://dx.doi.org/10.4316/AECE.2014.01019 |
Similar Items
-
EMLP: short-term gas load forecasting based on ensemble multilayer perceptron with adaptive weight correction
by: Fengyong Li, et al.
Published: (2021-04-01) -
Monthly Maximum load Demand Forecasting for Sulaimani Governorate Using Different Weather Conditions Based on Artificial Neural Network Model
by: Najat Hassan Abdulkareem
Published: (2020-07-01) -
Hybrid Short-Term Load Forecasting Scheme Using Random Forest and Multilayer Perceptron
by: Jihoon Moon, et al.
Published: (2018-11-01) -
Transfer Learning for Day-Ahead Load Forecasting: A Case Study on European National Electricity Demand Time Series
by: Alexandros Menelaos Tzortzis, et al.
Published: (2023-12-01) -
Different Forecasting Horizons Based Performance Analysis of Electricity Load Forecasting Using Multilayer Perceptron Neural Network
by: Manogaran Madhiarasan, et al.
Published: (2021-11-01)