Duehee Lee

Multiagent off-screen behavior prediction in football

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

A Hybrid DA-PSO Optimization Algorithm for Multiobjective Optimal Power Flow Problems

Embedding based quantile regression neural network for probabilistic load forecasting

On-Line Building Energy Optimization Using Deep Reinforcement Learning

Wind power prediction using deep neural network based meta regression and transfer learning

Multi-objective optimal power flow considering wind power cost functions using enhanced PSO with chaotic mutation and stochastic weights

A Hybrid Intelligent Model for Deterministic and Quantile Regression Approach for Probabilistic Wind Power Forecasting

Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review

Modelling the impacts of variable renewable sources on the power sector: Reconsidering the typology of energy modelling tools

Deep belief network based deterministic and probabilistic wind speed forecasting approach

Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network

Particle Swarm Optimization: A Comprehensive Survey

Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach

Survey on IoT security: Challenges and solution using machine learning, artificial intelligence and blockchain technology

Probabilistic spatiotemporal wind speed forecasting based on a variational Bayesian deep learning model

Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges

A Review of Deep Learning Models for Time Series Prediction

Reviewing EnergyPLAN simulations and performance indicator applications in EnergyPLAN simulations

Deep learning based ensemble approach for probabilistic wind power forecasting

Stochastic Dynamic Optimal Power Flow Integrated with Wind Energy Using Generalized Dynamic Factor Model

Load and Wind Power Scenario Generation Through the Generalized Dynamic Factor Model

Stochastic Dynamic AC Optimal Power Flow Based on a Multivariate Short-Term Wind Power Scenario Forecasting Model

Short-Term Wind Power Ensemble Prediction Based on Gaussian Processes and Neural Networks

Future Wind Power Scenario Synthesis Through Power Spectral Density Analysis