Short-term Forecasting of Electricity Consumption in Buildings for Efficient and Optimal Distributed Energy Management. - Abinet Tesfaye Eseye; Matti Lehtonen; Toni Tukia; Semen Uimonen; R. John Millar (INDIN, 2019)

Day-ahead Prediction of Building District Heat Demand for Smart Energy Management and Automation in Decentralized Energy Systems. - Abinet Tesfaye Eseye; Matti Lehtonen; Toni Tukia; Semen Uimonen; R. John Millar (INDIN, 2019)

Effective Input Dataset Identification Methodology for Accurate Prediction of Local PV Power Production. - Abinet Tesfaye Eseye; Matti Lehtonen; Toni Tukia; Semen Uimonen; R. John Millar (ISGT Europe, 2019)

Efficient Feature Selection Strategy for Accurate Electricity Demand Forecasting. - Abinet Tesfaye Eseye; Matti Lehtonen; Toni Tukia; Semen Uimonen; R. John Millar (ISGT Europe, 2019)

Adaptive Predictor Subset Selection Strategy for Enhanced Forecasting of Distributed PV Power Generation. - Abinet Tesfaye Eseye; Matti Lehtonen; Toni Tukia; Semen Uimonen; R. John Millar (IEEE Access, 2019)

Machine Learning Based Integrated Feature Selection Approach for Improved Electricity Demand Forecasting in Decentralized Energy Systems. - Abinet Tesfaye Eseye; Matti Lehtonen; Toni Tukia; Semen Uimonen; R. John Millar (IEEE Access, 2019)

Optimal Energy Trading for Renewable Energy Integrated Building Microgrids Containing Electric Vehicles and Energy Storage Batteries. - Abinet Tesfaye Eseye; Matti Lehtonen; Toni Tukia; Semen Uimonen; R. John Millar (IEEE Access, 2019)

Restoring Distribution System Under Renewable Uncertainty Using Reinforcement Learning. - Xiangyu Zhang 010; Abinet Tesfaye Eseye; Bernard Knueven; Wesley B. Jones (SmartGridComm, 2020)

Short-Term Forecasting of Heat Demand of Buildings for Efficient and Optimal Energy Management Based on Integrated Machine Learning Models. - Abinet Tesfaye Eseye; Matti Lehtonen (IEEE Trans. Ind. Informatics, 2020)

Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration. - Xiangyu Zhang 010; Abinet Tesfaye Eseye; Bernard Knueven; Weijia Liu; Matthew Reynolds; Wesley B. Jones (CoRR, 2022)