Short-Term Electrical Load Forecasting in Power Systems Using Deep Learning Techniques

Short-Term Electrical Load Forecasting in Power Systems Using Deep Learning Techniques

The use of big data in deep neural networks has recently surpassed traditional machine learning techniques in many application areas. The main reasons for the use of deep neural networks are the increase in computational power made possible by graphics processing units and tensor processing units, a...

Full description

Saved in:

Bibliographic Details
Main Author:	Nihat Pamuk
Format:	Article
Language:	English
Published:	Sakarya University 2023-10-01
Series:	Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Subjects:	short-term forecasting electricity load graphical process units tensor process units
Online Access:	https://dergipark.org.tr/tr/download/article-file/2975741
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Improved Short-Term Electricity Load Forecasting Method: The VMD–KPCA–xLSTM–Informer Model
by: Jiawen You, et al.
Published: (2025-04-01)

Hybrid Optimization based on Deep Learning Approach for Short-Term Load Forecast of Electricity Demand in Buildings
by: Charan Sekhar Makula, et al.
Published: (2024-06-01)

Short-Term Load Forecasting for Electrical Power Distribution Systems Using Enhanced Deep Neural Networks
by: Shewit Tsegaye, et al.
Published: (2024-01-01)

Short-Term Electrical Load Forecasting Through Optimally Configured Long Short-Term Memory
by: Somasundaram Vasudevan, et al.
Published: (2024-12-01)

A clustering fractional-order grey model in short-term electrical load forecasting
by: Xiang Yu, et al.
Published: (2025-02-01)

Hybrid Techniques for Short Term Load Forecasting
by: Saroj Panda, et al.
Published: (2023-03-01)

Elastic Momentum-Enhanced Adaptive Hybrid Method for Short-Term Load Forecasting
by: Wenting Zhao, et al.
Published: (2025-06-01)

Implementing a Hybrid Quantum Neural Network for Wind Speed Forecasting: Insights from Quantum Simulator Experiences
by: Ying-Yi Hong, et al.
Published: (2025-04-01)

Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory
by: Huiru ZHAO, et al.
Published: (2020-06-01)

FBiLSTM-Attention short-term load forecasting based on fuzzy logic
by: Yan ZHANG, et al.
Published: (2025-02-01)

A Comparative Study of Machine Learning Models for Short-Term Load Forecasting
by: Etna Vianita, et al.
Published: (2025-05-01)

A Short-Term Load Forecasting Method Based on CNN-BiGRU-NN Model
by: Youjun ZENG, et al.
Published: (2021-09-01)

Short-Term Load Forecasting of Power System Based on VMD-CNN-BIGRU
by: Huping YANG, et al.
Published: (2022-10-01)

Short-Term Load Forecasting in Power Systems Based on the Prophet–BO–XGBoost Model
by: Shuang Zeng, et al.
Published: (2025-01-01)

Method of computing on graphics processors
by: I. N. Hubchyk, et al.
Published: (2019-06-01)

Short-Term Load Forecasting Based on Pelican Optimization Algorithm and Dropout Long Short-Term Memories–Fully Convolutional Neural Network Optimization
by: Haonan Wang, et al.
Published: (2024-12-01)

A Short-Term Electricity Load Complementary Forecasting Method Based on Bi-Level Decomposition and Complexity Analysis
by: Xun Dou, et al.
Published: (2025-03-01)

Electric Vehicle Charging Load Forecasting Method Based on Improved Long Short-Term Memory Model with Particle Swarm Optimization
by: Xiaomeng Yang, et al.
Published: (2025-03-01)

Forecasting very short-term power load with hybrid interpretable deep models
by: Zhihe Yang, et al.
Published: (2025-12-01)

The Effect of Input Length on Prediction Accuracy in Short-Term Multi-Step Electricity Load Forecasting: A CNN-LSTM Approach
by: Seyda Ozdemir, et al.
Published: (2025-01-01)

Ultra short-term forecasting for the propulsion energy consumption of all-electric ships based on TCFFA-GRU-parallel network
by: Xinyu Hao, et al.
Published: (2025-03-01)

A big data framework for short-term power load forecasting using heterogenous data
by: Haibo ZHAO, et al.
Published: (2022-12-01)

Short-Term Power Load Forecasting Using an Improved Model Integrating GCN and Transformer
by: Man Wu, et al.
Published: (2025-06-01)

Short-term Load Forecasting Based on CNN-LSTM with Quadratic Decomposition Combined
by: DENG Bowen, et al.
Published: (2023-08-01)

Real Implementation and Testing of Short-Term Building Load Forecasting: A Comparison of SVR and NARX
by: Juan José Hernández, et al.
Published: (2025-04-01)

Comparison of artificial neural network models of categorized daily electric load
by: Vildan Evren, et al.
Published: (2021-04-01)

Using crafted features and polar bear optimization algorithm for short-term electric load forecast system
by: Mansi Bhatnagar, et al.
Published: (2025-01-01)

SFPFMformer: Short-Term Power Load Forecasting for Proxy Electricity Purchase Based on Feature Optimization and Multiscale Decomposition
by: Chengfei Qi, et al.
Published: (2025-05-01)

Short-Term Load Forecasting Based on Feature Selection and Combination Model
by: Yusong XU, et al.
Published: (2022-07-01)

Conditional Tabular GAN-Based Two-Stage Data Generation Scheme for Short-Term Load Forecasting
by: Jaeuk Moon, et al.
Published: (2020-01-01)

Research on traction load forecasting of electrified railway
by: LIU Fu, et al.
Published: (2023-03-01)

Short-Term Electricity Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Improved Sparrow Search Algorithm–Convolutional Neural Network–Bidirectional Long Short-Term Memory Model
by: Han Qiu, et al.
Published: (2025-02-01)

An Informer Model for Very Short-Term Power Load Forecasting
by: Zhihe Yang, et al.
Published: (2025-02-01)

Research on Short-term Load Forecasting Algorithm Based on VMD and TCN
by: WANG Qing, et al.
Published: (2024-04-01)

Short-term load forecasting based on multi-frequency sequence feature analysis and multi-point modified FEDformer
by: Kaiyuan Hou, et al.
Published: (2025-01-01)

Seasonal forecasting of the hourly electricity demand applying machine and deep learning algorithms impact analysis of different factors
by: Heba-Allah Ibrahim El-Azab, et al.
Published: (2025-03-01)

Short-term Power Load Forecasting Method of Data Center Considering PUE
by: WU Jin-song, et al.
Published: (2021-12-01)

Enhancing Short-Term Load Forecasting Accuracy in High-Volatility Regions Using LSTM-SCN Hybrid Models
by: Bingbing Tang, et al.
Published: (2024-12-01)

Short-Term Power Load Forecasting Method based on Glowworm Swarm Optimization Algorithm
by: Haihong FAN
Published: (2021-03-01)

Hybrid Long Short-Term Memory Wavelet Transform Models for Short-Term Electricity Load Forecasting
by: Agbassou Guenoukpati, et al.
Published: (2024-09-01)