Citation Impact
Citing Papers
Multi Energy System With an Associated Energy Hub: A Review
2021
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition
2018
Intelligent service capacity allocation for cross-border-E-commerce related third-party-forwarding logistics operations: A deep learning approach
2020 Standout
A multiobjective framework for wind speed prediction interval forecasts
2015
Embedding based quantile regression neural network for probabilistic load forecasting
2018
On-Line Building Energy Optimization Using Deep Reinforcement Learning
2018 Standout
Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method
2016 Standout
Bi-objective optimization of a three-echelon multi-server supply-chain problem in congested systems: Modeling and solution
2016
Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region
2018
Nearest-neighbor methodology for prediction of intra-hour global horizontal and direct normal irradiances
2015
Optimal power flow using an Improved Colliding Bodies Optimization algorithm
2016
Environmental impact of renewable energy source based electrical power plants: Solar, wind, hydroelectric, biomass, geothermal, tidal, ocean, and osmotic
2022 Standout
Probabilistic electricity price forecasting with variational heteroscedastic Gaussian process and active learning
2014
Short-Term Load Forecasting for Industrial Customers Based on TCN-LightGBM
2020 Standout
Optimal Operation of Energy Hubs With Large-Scale Distributed Energy Resources for Distribution Network Congestion Management
2021
ODOC-ELM: Optimal decision outputs compensation-based extreme learning machine for classifying imbalanced data
2015
Predictive Deep Boltzmann Machine for Multiperiod Wind Speed Forecasting
2015
Electric load data characterising and forecasting based on trend index and auto‐encoders
2018
Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning
2018
A Hybrid Intelligent Model for Deterministic and Quantile Regression Approach for Probabilistic Wind Power Forecasting
2014
Emerging artificial intelligence methods in structural engineering
2018
Review on deep learning applications in frequency analysis and control of modern power system
2021 Standout
A Survey on Data Mining Techniques Applied to Electricity-Related Time Series Forecasting
2015
Electricity Price Forecasting for Operational Scheduling of Behind-the-Meter Storage Systems
2017
Support-Vector-Machine-Enhanced Markov Model for Short-Term Wind Power Forecast
2015
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review
2019
Research and application of wireless sensor network technology in power transmission and distribution system
2020 Standout
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
2020 Standout
A novel forecasting model based on a hybrid processing strategy and an optimized local linear fuzzy neural network to make wind power forecasting: A case study of wind farms in China
2016
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
2020 Standout
Look-ahead risk-averse power scheduling of heterogeneous electric vehicles aggregations enabling V2G and G2V systems based on information gap decision theory
2019
Optimal dual-channel supply chain configuration for product categories with different customer preference of online channel
2017
Short-Term Electricity Price Forecasting With Stacked Denoising Autoencoders
2016
A Survey on Metaverse: Fundamentals, Security, and Privacy
2022 Standout
20 years of Electronic Commerce Research
2021 Standout
Deep belief network based deterministic and probabilistic wind speed forecasting approach
2016 Standout
Short-term wind speed prediction model based on GA-ANN improved by VMD
2019 Standout
Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network
2018 Standout
An Improved Harris Hawks Optimization Algorithm With Simulated Annealing for Feature Selection in the Medical Field
2020 Standout
Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications
2018
Sequence Generative Adversarial Networks for Wind Power Scenario Generation
2019
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Electric vehicles standards, charging infrastructure, and impact on grid integration: A technological review
2019 Standout
Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach
2021 Standout
Learning from imbalanced data: open challenges and future directions
2016 Standout
Survey on IoT security: Challenges and solution using machine learning, artificial intelligence and blockchain technology
2020 Standout
A review on time series forecasting techniques for building energy consumption
2017 Standout
Internet of Things-aided Smart Grid: Technologies, Architectures,\n Applications, Prototypes, and Future Research Directions
2017
Machine learning methods for solar radiation forecasting: A review
2017 Standout
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
2018 Standout
Grain silo location-allocation problem with dwell time for optimization of food grain supply chain network
2018 Standout
Agribusiness time series forecasting using Wavelet neural networks and metaheuristic optimization: An analysis of the soybean sack price and perishable products demand
2018
A new feature selection and hybrid forecast engine for day-ahead price forecasting of electricity markets
2017 Standout
Quantifying uncertainty in short-term traffic prediction and its application to optimal staffing plan development
2018
Day-ahead electricity price forecasting via the application of artificial neural network based models
2016
Decision-Making for Electricity Retailers: A Brief Survey
2017
Wind Speed Interval Prediction Based on Lorenz Disturbance Distribution
2019
A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics
2020 Standout
Machine learning driven smart electric power systems: Current trends and new perspectives
2020
Blockchain-Based Secure and Cooperative Private Charging Pile Sharing Services for Vehicular Networks
2021
Deep learning based ensemble approach for probabilistic wind power forecasting
2016
Works of Can Wan being referenced
Reliability evaluation of integrated electricity–gas system utilizing network equivalent and integrated optimal power flow techniques
2019
Situation awareness of active distribution network: Roadmap, technologies, and bottlenecks
2016
Nonparametric Prediction Intervals of Wind Power via Linear Programming
2017
Direct Interval Forecasting of Wind Power
2013
Contracting with asymmetric cost information in a dual-channel supply chain
2013
Optimal Cloud Computing Resource Allocation for Demand Side Management
2016
A Fully Distributed Hierarchical Control Framework for Coordinated Operation of DERs in Active Distribution Power Networks
2018
A Multi-Model Combination Approach for Probabilistic Wind Power Forecasting
2018
A review on applications of heuristic optimization algorithms for optimal power flow in modern power systems
2014
Direct Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power Generation
2016
A Multistage Home Energy Management System With Residential Photovoltaic Penetration
2018
Discussion of “Combined Nonparametric Prediction Intervals for Wind Power Generation”
2014
Optimal Prediction Intervals of Wind Power Generation
2014
A Hybrid Approach for Probabilistic Forecasting of Electricity Price
2013
Probabilistic Forecasting of Wind Power Generation Using Extreme Learning Machine
2013
Risk-Based Day-Ahead Scheduling of Electric Vehicle Aggregator Using Information Gap Decision Theory
2015
Coordination of a supply chain with one manufacturer and multiple competing retailers under simultaneous demand and cost disruptions
2012
Pareto Optimal Prediction Intervals of Electricity Price
2016