Research on time series prediction of hybrid intelligent systems based on deep learning

Research on time series prediction of hybrid intelligent systems based on deep learning

Power forecasting plays a crucial role in the operation of smart grid system, which is indispensable for making the operation plan of power system, improving economic efficiency and ensuring the quality of power supply. In order to enhance the accuracy of power load forecasting, a hybrid intelligent...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид:	Shang Jin, Wang Weiqing, Shi Bingcun, Xu Xiaobo
Формат:	Өгүүллэг
Хэл сонгох:	English
Хэвлэсэн:	Elsevier 2024-09-01
Цуврал:	Intelligent Systems with Applications
Нөхцлүүд:	Component Intelligent systems Load forecasting Intelligent optimization Long short-term memory Genetic algorithm
Онлайн хандалт:	http://www.sciencedirect.com/science/article/pii/S2667305324000930

Ижил төстэй зүйлс

Enhancing Electricity Load Forecasting with Machine Learning and Deep Learning
-н: Arbër Perçuku, зэрэг
Хэвлэсэн: (2025-02-01)

Short-Term Load Forecasting for Electrical Power Distribution Systems Using Enhanced Deep Neural Networks
-н: Shewit Tsegaye, зэрэг
Хэвлэсэн: (2024-01-01)

Time Series Forecasting of Electrical Energy Consumption Using Deep Learning Algorithm
-н: E. O. Edoka, зэрэг
Хэвлэсэн: (2023-09-01)

Artificial Intelligence based accurately load forecasting system to forecast short and medium-term load demands
-н: Faisal Mehmood Butt, зэрэг
Хэвлэсэн: (2021-04-01)

Integrating Long Short-Term Memory and Genetic Algorithm for Short-Term Load Forecasting
-н: Arpita Samanta Santra, зэрэг
Хэвлэсэн: (2019-05-01)

A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network
-н: Chujie Tian, зэрэг
Хэвлэсэн: (2018-12-01)

Short-Term Fuzzy Load Forecasting Model Using Genetic–Fuzzy and Ant Colony–Fuzzy Knowledge Base Optimization
-н: Murat Luy, зэрэг
Хэвлэсэн: (2018-05-01)

Forecasting of Electric Load Using a Hybrid LSTM-Neural Prophet Model
-н: Md Jamal Ahmed Shohan, зэрэг
Хэвлэсэн: (2022-03-01)

Long-Short-Term Memory Network Based Hybrid Model for Short-Term Electrical Load Forecasting
-н: Liwen Xu, зэрэг
Хэвлэсэн: (2018-07-01)

A two-stage deep learning-based hybrid model for daily wind speed forecasting
-н: Shahab S. Band, зэрэг
Хэвлэсэн: (2025-01-01)

An Improved Deep Learning Model for Electricity Price Forecasting
-н: Rashed Iqbal, зэрэг
Хэвлэсэн: (2025-01-01)

Ultra-Short-Term Load Demand Forecast Model Framework Based on Deep Learning
-н: Hongze Li, зэрэг
Хэвлэсэн: (2020-09-01)

Deep Ensemble Learning Model for Short-Term Load Forecasting within Active Learning Framework
-н: Zengping Wang, зэрэг
Хэвлэсэн: (2019-10-01)

Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †
-н: Salah Bouktif, зэрэг
Хэвлэсэн: (2018-06-01)

Deep Learning Based Electricity Demand Forecasting in Different Domains
-н: M. Imani
Хэвлэсэн: (2020-03-01)

Hierarchical Clustering and Deep Learning for Short-Term Load Forecasting with Influenced Factors
-н: Rio Indralaksono, зэрэг
Хэвлэсэн: (2022-08-01)

Construction and Application of Short-Term and Mid-Term Power System Load Forecasting Model Based on Hybrid Deep Learning
-н: Hongsheng Xu, зэрэг
Хэвлэсэн: (2023-01-01)

Daily Natural Gas Load Forecasting Based on a Hybrid Deep Learning Model
-н: Nan Wei, зэрэг
Хэвлэсэн: (2019-01-01)

Deep Learning-Based Short-Term Load Forecasting for Supporting Demand Response Program in Hybrid Energy System
-н: Sholeh Hadi Pramono, зэрэг
Хэвлэсэн: (2019-08-01)

Applying Artificial Intelligence in Forecasting the Output of Industrial Solar Power Plant in Vietnam
-н: Ninh Quang, зэрэг
Хэвлэсэн: (2021-11-01)

Short-Term Load Forecasting Based on VMD and Deep TCN-Based Hybrid Model with Self-Attention Mechanism
-н: Qingliang Xiong, зэрэг
Хэвлэсэн: (2023-11-01)

Enhancing Weather Forecasting Integrating LSTM and GA
-н: Rita Teixeira, зэрэг
Хэвлэсэн: (2024-07-01)

Enhanced Short-Term Load Forecasting: Error-Weighted and Hybrid Model Approach
-н: Huiqun Yu, зэрэг
Хэвлэсэн: (2024-10-01)

A study on intelligent translation of English sentences by a semantic feature extractor
-н: Jiang Shulun
Хэвлэсэн: (2024-02-01)

Multi-Sequence LSTM-RNN Deep Learning and Metaheuristics for Electric Load Forecasting
-н: Salah Bouktif, зэрэг
Хэвлэсэн: (2020-01-01)

Adaptive Clustering Long Short-Term Memory Network for Short-Term Power Load Forecasting
-н: Yuanhang Qi, зэрэг
Хэвлэсэн: (2023-08-01)

Assessing Tolerance-Based Robust Short-Term Load Forecasting in Buildings
-н: Juan Prieto, зэрэг
Хэвлэсэн: (2013-04-01)

The Structure of Working Memory and Its Relationship with Intelligence in Japanese Children
-н: Yoshifumi Ikeda, зэрэг
Хэвлэсэн: (2023-08-01)

Successful Learning: Relationship Between Fluid Intelligence and Working Memory
-н: Rzhanova I.E., зэрэг
Хэвлэсэн: (2020-04-01)

A Hybrid Residential Short-Term Load Forecasting Method Using Attention Mechanism and Deep Learning
-н: Xinhui Ji, зэрэг
Хэвлэсэн: (2022-12-01)

Short-term power load forecasting using SSA-CNN-LSTM method
-н: Yonggang Wang, зэрэг
Хэвлэсэн: (2024-12-01)

Short term electricity load forecasting using hybrid prophet-LSTM model optimized by BPNN
-н: Tasarruf Bashir, зэрэг
Хэвлэсэн: (2022-11-01)

Optimizing electric load forecasting with support vector regression/LSTM optimized by flexible Gorilla troops algorithm and neural networks a case study
-н: Zhirong Zhang, зэрэг
Хэвлэсэн: (2024-09-01)

Improving solar radiation source efficiency using adaptive dynamic squirrel search optimization algorithm and long short-term memory
-н: Doaa Sami Khafaga, зэрэг
Хэвлэсэн: (2023-07-01)

ECG Forecasting System Based on Long Short-Term Memory
-н: Henriques Zacarias, зэрэг
Хэвлэсэн: (2024-01-01)

Short-Term Photovoltaic Power Forecasting Based on Historical Information and Deep Learning Methods
-н: Xianchao Guo, зэрэг
Хэвлэсэн: (2022-12-01)

An intelligent aerator algorithm inspired-by deep learning
-н: Hongjie Deng, зэрэг
Хэвлэсэн: (2019-04-01)

Artificial Intelligence-Driven Prognosis of Respiratory Mechanics: Forecasting Tissue Hysteresivity Using Long Short-Term Memory and Continuous Sensor Data
-н: Ghada Ben Othman, зэрэг
Хэвлэсэн: (2024-08-01)

Short-Term Load Forecasting Based on Deep Learning Bidirectional LSTM Neural Network
-н: Changchun Cai, зэрэг
Хэвлэсэн: (2021-09-01)

Short-Term Prediction of Bus Passenger Flow Based on a Hybrid Optimized LSTM Network
-н: Yong Han, зэрэг
Хэвлэсэн: (2019-08-01)