A new generation of AI: A review and perspective on machine learning technologies applied to smart energy and electric power systems

Robust sliding-mode control of wind energy conversion systems for optimal power extraction via nonlinear perturbation observers

(2018) Bo Yang et al.   APPLIED ENERGY

Dissolved Gas Analysis Principle-Based Intelligent Approaches to Fault Diagnosis and Decision Making for Large Oil-Immersed Power Transformers: A Survey

(2018) Lefeng Cheng et al.   Energies

Local Energy Management and Optimization: A Novel Energy Universal Service Bus System Based on Energy Internet Technologies

(2018) Lefeng Cheng et al.   Energies

Smart generation control based on multi-agent reinforcement learning with the idea of the time tunnel

(2018) Lei Xi et al.   ENERGY

Generative Adversarial Networks: An Overview

(2018) Antonia Creswell et al.   IEEE SIGNAL PROCESSING MAGAZINE

Lifelong Learning for Complementary Generation Control of Interconnected Power Grids With High-Penetration Renewables and EVs

(2018) Xiao Shun Zhang et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Model-Free Renewable Scenario Generation Using Generative Adversarial Networks

(2018) Yize Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Design of a Novel Smart Generation Controller Based on Deep Q Learning for Large-Scale Interconnected Power System

(2018) Linfei Yin et al.   JOURNAL OF ENERGY ENGINEERING

Progressive Semisupervised Learning of Multiple Classifiers

(2018) Zhiwen Yu et al.   IEEE Transactions on Cybernetics

Design of a Novel Smart Generation Controller Based on Deep Q Learning for Large-Scale Interconnected Power System

(2018) Linfei Yin et al.   JOURNAL OF ENERGY ENGINEERING

Generative Adversarial Networks Based Heterogeneous Data Integration and Its Application for Intelligent Power Distribution and Utilization

(2018) Yuanpeng Tan et al.   Applied Sciences-Basel

Culture Evolution Learning for Optimal Carbon-Energy Combined-Flow

(2018) Xiaoshun Zhang et al.   IEEE Access

Ensemble Learning for Overall Power Conversion Efficiency of the All-Organic Dye-Sensitized Solar Cells

(2018) Hui Li et al.   IEEE Access

Nash Equilibrium-Based Asymptotic Stability Analysis of Multi-Group Asymmetric Evolutionary Games in Typical Scenario of Electricity Market

(2018) Lefeng Cheng et al.   IEEE Access

Bacteria Foraging Reinforcement Learning for Risk-Based Economic Dispatch via Knowledge Transfer

(2017) Chuanjia Han et al.   Energies

Deep transfer Q-learning with virtual leader-follower for supply-demand Stackelberg game of smart grid

(2017) Xiaoshun Zhang et al.   ENERGY

Grouped grey wolf optimizer for maximum power point tracking of doubly-fed induction generator based wind turbine

(2017) Bo Yang et al.   ENERGY CONVERSION AND MANAGEMENT

Deep Reinforcement Learning: A Brief Survey

(2017) Kai Arulkumaran et al.   IEEE SIGNAL PROCESSING MAGAZINE

Beyond the internet of things: everything interconnected: technology, communications and computing [book review]

(2017) Lennyn Daza et al.   IEEE WIRELESS COMMUNICATIONS

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Deep Neural Network Based Demand Side Short Term Load Forecasting

(2016) Seunghyoung Ryu et al.   Energies

Wolf pack hunting strategy for automatic generation control of an islanding smart distribution network

(2016) Lei Xi et al.   ENERGY CONVERSION AND MANAGEMENT

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Transfer learning for short-term wind speed prediction with deep neural networks

(2016) Qinghua Hu et al.   RENEWABLE ENERGY

Approximate ideal multi-objective solution Q(λ) learning for optimal carbon-energy combined-flow in multi-energy power systems

(2015) Xiaoshun Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-Agent Correlated Equilibrium Q(λ) Learning for Coordinated Smart Generation Control of Interconnected Power Grids

(2015) T. Yu et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Deep learning

(2015) Yann LeCun et al.   NATURE

Reinforcement learning improves behaviour from evaluative feedback

(2015) Michael L. Littman   NATURE

Multimodel Ensemble for Freeway Traffic State Estimations

(2014) Li Li et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Big Data Analytics: Perspective Shifting from Transactions to Ecosystems

(2013) Daniel Zeng et al.   IEEE INTELLIGENT SYSTEMS

Robust Online Dynamic Security Assessment Using Adaptive Ensemble Decision-Tree Learning

(2013) Miao He et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

AdaBoost$^{+}$: An Ensemble Learning Approach for Estimating Weather-Related Outages in Distribution Systems

(2013) Padmavathy Kankanala et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Short-term load forecasting based on support vector regression and load profiling

(2013) João C. Sousa et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Application of extreme learning machine for estimating solar radiation from satellite data

(2013) Mehmet Şahin et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting

(2012) Ling Tang et al.   APPLIED ENERGY

R() imitation learning for automatic generation control of interconnected power grids

(2012) T. Yu et al.   AUTOMATICA

Distributed multi-step Q(λ) learning for Optimal Power Flow of large-scale power grids

(2012) T. Yu et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A novel seasonal decomposition based least squares support vector regression ensemble learning approach for hydropower consumption forecasting in China

(2011) Shuai Wang et al.   ENERGY

Machine Learning: The State of the Art

(2009) Jue Wang et al.   IEEE INTELLIGENT SYSTEMS

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A new recursive neural network algorithm to forecast electricity price for PJM day-ahead market

(2009) Paras Mandal et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH