Industry experience of developing day-ahead photovoltaic plant forecasting system based on machine learning AI Khalyasmaa, SA Eroshenko, VA Tashchilin, H Ramachandran, ... Remote Sensing 12 (20), 3420, 2020 | 27 | 2020 |
Prediction of solar power generation based on random forest regressor model A Khalyasmaa, SA Eroshenko, TP Chakravarthy, VG Gasi, SKY Bollu, ... 2019 International Multi-Conference on Engineering, Computer and Information …, 2019 | 25 | 2019 |
Predicting the supreme court decision on appeal cases using hierarchical convolutional neural network N Sivaranjani, J Jayabharathy, PC Teja International Journal of Speech Technology 24 (3), 643-650, 2021 | 13 | 2021 |
Strategic planning of renewable energy sources implementation following the country-wide goals of energy sector development A Khalyasmaa, S Eroshenko, A Bramm, DC Tran, PC Teja, R Hariprakash 2020 International Conference on Smart Technologies in Computing, Electrical …, 2020 | 10 | 2020 |
Microgrid development for remote residential customers power supply A Khalyasmaa, S Eroshenko, A Bramm, PC Teja, R Hariprakash 2020 International Conference on Smart Technologies in Computing, Electrical …, 2020 | 7 | 2020 |
Prediction of Solar Power Generation Based on Random Forest Regressor Model. 2019 International Multi-Conference on Engineering A Khalyasmaa, SA Eroshenko, TP Chakravarthy, VG Gasi, SKY Bollu, ... Computer and Information Sciences (SIBIRCON). doi 10, 2019 | 6 | 2019 |