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2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2022, p.1-6

2022

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A Comparative Study of Power Transformer Winding Fault Diagnosis Using Machine Learning Algorithms

2024 32nd Southern African Universities Power Engineering Conference (SAUPEC), 2024, p.1-5

2024

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MNFIS and other soft computing based MPPT techniques: A comparative analysis

2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC), 2016, p.3247-3251

2016

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Graph Neural Network-Based Power Flow Model

2023 North American Power Symposium (NAPS), 2023, p.1-5

2023

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Optimal Control of Active Distribution Network using Deep Reinforcement Learning

2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2022, p.1-6

2022

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Solid State Power Substations (SSPS): A Multi-Hierarchical Architecture from Substation to Grid Edge

2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 2022, p.1-6

2022

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Time-Synchronized State Estimation Using Graph Neural Networks in Presence of Topology Changes

2023 North American Power Symposium (NAPS), 2023, p.1-6

2023

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Short-term wind forecasting using spatial and temporal wind measurements

2015 IEEE Power & Energy Society General Meeting, 2015, p.1-4

2015

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Stochastic Heuristic Optimization of Machine Learning Estimators for Short-Term Wind Power Forecasting

2022 57th International Universities Power Engineering Conference (UPEC), 2022, p.1-6

2022

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Neural Network as Datasheet: Modeling B-H Loops of Power Magnetics with Sequence-to-Sequence LSTM Encoder-Decoder Architecture

2022 IEEE 23rd Workshop on Control and Modeling for Power Electronics (COMPEL), 2022, p.1-8

2022

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Power System Quasi-Steady State Estimation: An Echo State Network Approach

2023 North American Power Symposium (NAPS), 2023, p.1-6

2023

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Load Balancing and Interlacing of Storage Units in Smart Grids

2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2022, p.1-6

2022

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Machine Learning-Based Cascade Size Prediction Analysis in Power Systems

2023 North American Power Symposium (NAPS), 2023, p.1-6

2023

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Digital Twin Models of Power Electronic Converters Using Dynamic Neural Networks

Benchmark analysis of day-ahead solar power forecasting techniques using weather predictions

Learning Optimal Power Flow Solutions using Linearized Models in Power Distribution Systems

Modeling Power Electronic Converters Using A Method Based on Long-Short Term Memory (LSTM) Networks

Online analysis of voltage security in a microgrid using convolutional neural networks

Photovoltaic Array Power Prediction Model Based on EEMD and PSO-KELM

Short-term photovoltaic generation forecasting based on similar day selection and extreme learning machine

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A hybrid neural network model and encoding technique for enhanced classification of energy consumption data

Deep belief network based nonlinear representation learning for transient stability assessment

Smart Grid Anomaly Detection using a Deep Learning Digital Twin

Wind Power Forecasting Using Machine Learning: State of the Art, Trends and Challenges

Weather and Seasonal Effects on Medium Voltage Underground Cable Joint Failures

A Comparative Study of Power Transformer Winding Fault Diagnosis Using Machine Learning Algorithms

MNFIS and other soft computing based MPPT techniques: A comparative analysis

Graph Neural Network-Based Power Flow Model

Optimal Control of Active Distribution Network using Deep Reinforcement Learning

Solid State Power Substations (SSPS): A Multi-Hierarchical Architecture from Substation to Grid Edge

Time-Synchronized State Estimation Using Graph Neural Networks in Presence of Topology Changes

Short-term wind forecasting using spatial and temporal wind measurements

Stochastic Heuristic Optimization of Machine Learning Estimators for Short-Term Wind Power Forecasting

Neural Network as Datasheet: Modeling B-H Loops of Power Magnetics with Sequence-to-Sequence LSTM Encoder-Decoder Architecture

Power System Quasi-Steady State Estimation: An Echo State Network Approach

Load Balancing and Interlacing of Storage Units in Smart Grids

Machine Learning-Based Cascade Size Prediction Analysis in Power Systems

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