Cluster-based industrial KPIs forecasting considering the periodicity and holiday effect using LSTM network and MSVR

Lot-sizing decisions for material requirements planning with hybrid uncertainties in a smart factory

(2022) Bin Zhu et al.   ADVANCED ENGINEERING INFORMATICS

Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling

(2022) Yalin Wang et al.   ADVANCED ENGINEERING INFORMATICS

A novel RSG-based intelligent bearing fault diagnosis method for motors in high-noise industrial environment

(2022) Pin Lyu et al.   ADVANCED ENGINEERING INFORMATICS

Data-driven cleaner production strategy for energy-intensive manufacturing industries: Case studies from Southern and Northern China

(2022) Shuaiyin Ma et al.   ADVANCED ENGINEERING INFORMATICS

Anomalous load profile detection in power systems using wavelet transform and robust regression

(2022) Mohammad Karkhaneh et al.   ADVANCED ENGINEERING INFORMATICS

Forecasting highly fluctuating electricity load using machine learning models based on multimillion observations

(2022) Mohamed Abdallah et al.   ADVANCED ENGINEERING INFORMATICS

Cloud-Edge Collaborative Method for Industrial Process Monitoring Based on Error-Triggered Dictionary Learning

(2022) Keke Huang et al.   IEEE Transactions on Industrial Informatics

SETransformer: Speech Enhancement Transformer

(2021) Weiwei Yu et al.   Cognitive Computation

Ensemble forecasting for product futures prices using variational mode decomposition and artificial neural networks

(2021) Weiping Liu et al.   CHAOS SOLITONS & FRACTALS

Highly accurate energy consumption forecasting model based on parallel LSTM neural networks

(2021) Ning Jin et al.   ADVANCED ENGINEERING INFORMATICS

Deep-learning-based anomaly detection for lace defect inspection employing videos in production line

(2021) Bingyu Lu et al.   ADVANCED ENGINEERING INFORMATICS

Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application

(2021) Chenliang Liu et al.   IEEE Transactions on Industrial Informatics

LSTM based long-term energy consumption prediction with periodicity

(2020) Jian Qi Wang et al.   ENERGY

A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning

(2020) Ying Xu et al.   APPLIED INTELLIGENCE

A context-augmented deep learning approach for worker trajectory prediction on unstructured and dynamic construction sites

(2020) Jiannan Cai et al.   ADVANCED ENGINEERING INFORMATICS

A hybrid prediction model based on pattern sequence-based matching method and extreme gradient boosting for holiday load forecasting

(2020) Kedong Zhu et al.   ELECTRIC POWER SYSTEMS RESEARCH

Short-term wind power forecasting approach based on Seq2Seq model using NWP data

(2020) Yu Zhang et al.   ENERGY

Deep Learning for Industrial KPI Prediction: When Ensemble Learning Meets Semi-Supervised Data

(2020) Qingqiang Sun et al.   IEEE Transactions on Industrial Informatics

A hybrid modelling method for time series forecasting based on a linear regression model and deep learning

(2019) Wenquan Xu et al.   APPLIED INTELLIGENCE

Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm

(2019) Zhaoke Huang et al.   Cognitive Computation

Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network

(2019) Yishun Liu et al.   KNOWLEDGE-BASED SYSTEMS

Transfer learning based 3D fuzzy multivariable control for an RTP system

(2019) Xian-Xia Zhang et al.   APPLIED INTELLIGENCE

Holt–Winters smoothing enhanced by fruit fly optimization algorithm to forecast monthly electricity consumption

(2019) Weiheng Jiang et al.   ENERGY

Soft sensor based on stacked auto-encoder deep neural network for air preheater rotor deformation prediction

(2018) Xiao Wang et al.   ADVANCED ENGINEERING INFORMATICS

A two-stage short-term load forecasting approach using temperature daily profiles estimation

(2018) Kheir Eddine Farfar et al.   NEURAL COMPUTING & APPLICATIONS

Short-term Load Forecasting with Deep Residual Networks

(2018) Kunjin Chen et al.   IEEE Transactions on Smart Grid

A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network

(2018) Chujie Tian et al.   Energies

Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting

(2013) Tao Xiong et al.   KNOWLEDGE-BASED SYSTEMS

Short-term load forecasting using lifting scheme and ARIMA models

(2010) Cheng-Ming Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Application of seasonal SVR with chaotic immune algorithm in traffic flow forecasting

(2010) Wei-Chiang Hong   NEURAL COMPUTING & APPLICATIONS