Grid AI Laboratory

Recruiting grad students

Chungnam National University · Electrical and Electronic Engineering

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This lab is recruiting graduate students

차세대 분산 전력망 연구에 관심 있는 대학원생과 학부생을 모집하며, CV와 함께 이메일로 문의하면 된다.

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Professor

Prof. 김형준

Professor's page · publications

About

신재생에너지 기반 미래 전력망을 위한 AI 기반 최적 제어·운영·예측 방법론을 연구하는 그리드 AI 연구실이다. 신재생에너지 전력망 관리·제어, 멀티에너지 시스템 최적화, AI 기반 예측 및 이상 탐지·XAI 분석, 가상발전소(VPP) 및 전력시장 참여, 나노그리드 제어 등을 다룬다.

Research keywords

에너지시스템

Selected publications

Interpretable probabilistic forecasting of building multi-energy loads using residual learning and global attention-enabled Transformer: A case study for residential buildings in South KoreaEnergy and Buildings · 2026
Safe Multi-critic reinforcement learning framework for coordinated energy management and voltage regulation in active distribution networksSustainable Energy, Grids and Networks · 2026
Global-local attention-enabled multiple decoder Transformer for multi-energy load forecasting in user-level integrated energy systemApplied Energy · 2025
Real-Time Price Forecasting Combined Deep Reinforcement Learning for Predictive Home Energy Management SystemIEEE Internet of Things Journal · 2025
Spatial-Temporal Graph Convolutional-based Recurrent Network for Electric Vehicle Charging Stations Demand Forecasting in Energy MarketIEEE Transactions on Smart Grid · 2024
A novel deep learning-based forecasting model optimized by heuristic algorithm for energy management of microgridApplied Energy · 2023

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