Results 31 to 40 of about 5,130 (182)

An intelligent operation ticket check method of power grid dispatch based on semantic analysis

Zhejiang dianli, 2022
For automatic and intelligent check of operation ticket for power grid scheduling， a scheduling operation ticket checking and analysis method based on bidirectional GRU （gated recurrent unit） neural networks and multiple verification rules is proposed ...
ZHENG Junxiang, LI Huile, HUANG Datie, SUN Jingliao, LU Yan   +4 more
doaj   +1 more source

Comparative Deep Learning Analysis: Unveiling the Power of LSTM, BiLSTM, GRU, and BiGRU for Agricultural Stock Price Forecasting on the Indonesian Stock Exchange

Jurnal Teknologi dan Sistem Informasi
This study aims to analyze the performance of deep learning algorithms in predicting agricultural sector stock prices on the Indonesia Stock Exchange (IDX) by comparing four models: Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), Gated ...
Muhammad Fadhlurrahman, Armin Darmawan
doaj   +1 more source

GRU-BERT for NILM: A Hybrid Deep Learning Architecture for Load Disaggregation

AI
Non-Intrusive Load Monitoring (NILM) aims to disaggregate a household’s total aggregated power consumption into appliance-level usage, enabling intelligent energy management without the need for intrusive metering.
Annysha Huzzat, Ahmed S. Khwaja, Ali A. Alnoman, Bhagawat Adhikari, Alagan Anpalagan, Isaac Woungang   +5 more
doaj   +1 more source

Spatial-Temporal Analysis of Earthquakes in Indonesia with Deep Learning Models: Performance Evaluation of CNN, LSTM, and Hybrid CNN-GRU

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Indonesia, located along the Pacific Ring of Fire, experiences high seismic activity with over 6,000 earthquakes annually. Accurate earthquake prediction remains a major challenge because of the complexity of geological dynamics and limitations of ...
Susandri Susandri, Fajrizal Fajrizal, Feldiansyah Bakri Nasution   +2 more
doaj   +1 more source

Bayonet-corpus: a trajectory prediction method based on bayonet context and bidirectional GRU

Digital Communications and Networks, 2021
Predicting travel trajectory of vehicles can not only provide personalized services to users, but also have a certain effect on traffic guidance and traffic control.
Mengyang Huang, Menggang Zhu, Yunpeng Xiao, Yanbing Liu   +3 more
doaj   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

TAMNet: Temporal and adaptive‐frequency network with MixStyle for cross‐region oil and fluid production forecasting

Deep Underground Science and Engineering, EarlyView.
This paper presents temporal and adaptive‐frequency network with MixStyle (TAMNet), a deep time‐series modeling framework for accurate and robust multi‐well oil productivity forecasting. TAMNet integrates transformer and long short‐term memory architectures to capture both short‐ and long‐term temporal dependencies, enhanced by a temporal gate unit ...
Chunxi Yang, Leifeng Meng, Qinghu Fan, Ziang Guo, Ting Bao, Pingdong Zhong, Fulin Luo   +6 more
wiley   +1 more source

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif, Usama Hassan, Javid Hussain, Irfan Ali Khan, Yuldasheva Gulora, Syed Masood Arif Bukhari   +5 more
wiley   +1 more source

Multivariate cryptocurrency prediction: comparative analysis of three recurrent neural networks approaches

Journal of Big Data, 2022
As a new type of currency introduced in the new millennium, cryptocurrency has established its ecosystems and attracts many people to use and invest in it.
Seng Hansun, Arya Wicaksana, Abdul Q. M. Khaliq   +2 more
doaj   +1 more source

Sentiment Analysis Using Multi-Head Attention Capsules With Multi-Channel CNN and Bidirectional GRU

IEEE Access, 2021
Existing text sentiment analysis methods mostly rely on a large number of language knowledge and sentiment resources. This paper proposes the Multi-channel convolution and bidirectional GRU multi-head attention capsule (AT-MC-BiGRU-Capsule), which uses ...
Yan Cheng, Huan Sun, Haomai Chen, Meng Li, Yingying Cai, Zhuang Cai, Jing Huang   +6 more
doaj   +1 more source