Mid-term Load Pattern Forecasting With Recurrent Artificial Neural Network

Mid-term Load Pattern Forecasting With Recurrent Artificial Neural Network

The paper describes a mid-term daily peak load forecasting method using recurrent artificial neural network (RANN). Generally, the artificial neural network (ANN) algorithm is used to forecast short-term load pattern and many ANN structures have been developed and commercialized so far. Otherwise, l...

Full description

Bibliographic Details
Main Author:	Seung-Mook Baek
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Series:	IEEE Access
Subjects:	Intelligent system mid-term load forecasting nonlinear load response recurrent artificial neural network
Online Access:	https://ieeexplore.ieee.org/document/8918178/

Similar Items

Short-Term Load Forecasting with Multi-Source Data Using Gated Recurrent Unit Neural Networks
by: Yixing Wang, et al.
Published: (2018-05-01)

A Short-Term Residential Load Forecasting Model Based on LSTM Recurrent Neural Network Considering Weather Features
by: Yizhen Wang, et al.
Published: (2021-05-01)

Assessing Tolerance-Based Robust Short-Term Load Forecasting in Buildings
by: Juan Prieto, et al.
Published: (2013-04-01)

Short-Term Forecasting of Electric Loads Using Nonlinear Autoregressive Artificial Neural Networks with Exogenous Vector Inputs
by: Jaime Buitrago, et al.
Published: (2017-01-01)

A High Precision Artificial Neural Networks Model for Short-Term Energy Load Forecasting
by: Ping-Huan Kuo, et al.
Published: (2018-01-01)

Short-Term Load Forecasting for Microgrids Based on Artificial Neural Networks
by: Antonio J. Sanchez-Esguevillas, et al.
Published: (2013-03-01)

Improved Short-Term Load Forecasting Based on Two-Stage Predictions with Artificial Neural Networks in a Microgrid Environment
by: Jaime Lloret, et al.
Published: (2013-08-01)

Empirical Comparison of Neural Network and Auto-Regressive Models in Short-Term Load Forecasting
by: Miguel López, et al.
Published: (2018-08-01)

Parallel Processing of Probabilistic Models-Based Power Supply Unit Mid-Term Load Forecasting With Apache Spark
by: Wei Jiang, et al.
Published: (2019-01-01)

Artificial Neural Network for Short-Term Load Forecasting in Distribution Systems
by: Luis Hernández, et al.
Published: (2014-03-01)

A Novel Nonlinear Combined Forecasting System for Short-Term Load Forecasting
by: Chengshi Tian, et al.
Published: (2018-03-01)

Short Term Load Forecasting for Turkey Energy Distribution System with Artificial Neural Networks
by: Salih Tosun*, et al.
Published: (2019-01-01)

Artificial Intelligence based accurately load forecasting system to forecast short and medium-term load demands
by: Faisal Mehmood Butt, et al.
Published: (2021-04-01)

Improving Accuracy and Generalization Performance of Small-Size Recurrent Neural Networks Applied to Short-Term Load Forecasting
by: Pavel V. Matrenin, et al.
Published: (2020-12-01)

Estimation Load Forecasting Based on the Intelligent Systems
by: Hanan A.R. Akkar, et al.
Published: (2018-04-01)

Monthly Electric Load Forecasting Using Transfer Learning for Smart Cities
by: Seung-Min Jung, et al.
Published: (2020-08-01)

Optimized Deep Stacked Long Short-Term Memory Network for Long-Term Load Forecasting
by: Tamer Ahmed Farrag, et al.
Published: (2021-01-01)

Short-Term Load Forecasting Using Recurrent Neural Networks With Input Attention Mechanism and Hidden Connection Mechanism
by: Mingfei Zhang, et al.
Published: (2020-01-01)

Deep Learning for Load Forecasting: Sequence to Sequence Recurrent Neural Networks With Attention
by: Ljubisa Sehovac, et al.
Published: (2020-01-01)

A New Short Term Electrical Load Forecasting by Type-2 Fuzzy Neural Networks
by: Alanazi, A., et al.
Published: (2022)

Application of Bidirectional Recurrent Neural Network Combined With Deep Belief Network in Short-Term Load Forecasting
by: Xianlun Tang, et al.
Published: (2019-01-01)

A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network
by: Chujie Tian, et al.
Published: (2018-12-01)

Short-Term Non-Residential Load Forecasting Based on Multiple Sequences LSTM Recurrent Neural Network
by: Runhai Jiao, et al.
Published: (2018-01-01)

Short-Term Load Forecasting of Natural Gas with Deep Neural Network Regression †
by: Gregory D. Merkel, et al.
Published: (2018-08-01)

Multi-Convolution Feature Extraction and Recurrent Neural Network Dependent Model for Short-Term Load Forecasting
by: Hui Hwang Goh, et al.
Published: (2021-01-01)

Short term load forecasting using neural networks
by: Nigrini, L.B., et al.
Published: (2015)

Short term load forecasting: two stage modelling
by: SOARES, L. J., et al.
Published: (2009-06-01)

A Bottom-up Method for Probabilistic Short-Term Load Forecasting Based on Medium Voltage Load Patterns
by: Zhengbang Jiang, et al.
Published: (2021-01-01)

Analysis of Different Neural Networks and a New Architecture for Short-Term Load Forecasting
by: Lintao Yang, et al.
Published: (2019-04-01)

Long-Short-Term Memory Network Based Hybrid Model for Short-Term Electrical Load Forecasting
by: Liwen Xu, et al.
Published: (2018-07-01)

Ultra-Short-Term Load Demand Forecast Model Framework Based on Deep Learning
by: Hongze Li, et al.
Published: (2020-09-01)

Development of models for short-term load forecasting using artificial neural networks
by: Amakali, Simaneka
Published: (2014)

Two-Stage Short-Term Load Forecasting for Power Transformers Under Different Substation Operating Conditions
by: Hang Liu, et al.
Published: (2019-01-01)

Recurrent neural networks in electricity load forecasting
by: Alam, Samiul
Published: (2018)

Short-Term Fuzzy Load Forecasting Model Using Genetic–Fuzzy and Ant Colony–Fuzzy Knowledge Base Optimization
by: Murat Luy, et al.
Published: (2018-05-01)

Short-Term Load Forecasting for Electric Vehicle Charging Stations Based on Deep Learning Approaches
by: Juncheng Zhu, et al.
Published: (2019-04-01)

Short-Term Load Forecasting Based on Adabelief Optimized Temporal Convolutional Network and Gated Recurrent Unit Hybrid Neural Network
by: Hanhong Shi, et al.
Published: (2021-01-01)

Intelligent Machine Learning With Evolutionary Algorithm Based Short Term Load Forecasting in Power Systems
by: Ibrahim M. Mehedi, et al.
Published: (2021-01-01)

Least Square Regression Based Integrated Multi-Parameteric Demand Modeling for Short Term Load Forecasting
by: Irfan Ahmed Halepoto, et al.
Published: (2014-04-01)

Application of SVM methods for mid-term load forecasting
by: Božić Miloš, et al.
Published: (2011-01-01)