Assessing the Applicability of Vertical Transportation in Power System Inertial Support. - Toni Tukia; Semen Uimonen; Matti Lehtonen (ISGT Europe, 2018)

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)

A machine learning approach to modelling escalator demand response. - Semen Uimonen; Toni Tukia; Jussi Ekström; Marja-Liisa Siikonen; Matti Lehtonen (Eng. Appl. Artif. Intell., 2020)