Computer Science, Artificial Intelligence, Computer Vision and Pattern Recognition
2
Scopus Publications
130
Scholar Citations
6
Scholar h-index
5
Scholar i10-index
Scopus Publications
Microgrid development for remote residential customers power supply Alexandra Khalyasmaa, Stanislav Eroshenko, Andrey Bramm, Piepur Chakravarthi Teja, Ramachandran Hariprakash Proceedings of the International Conference on Smart Technologies in Computing Electrical and Electronics Icstcee 2020, 2020 The paper discusses a practical case of creating an autonomous microgrid for remote residential customers power supply. Due to the specifics of the geographic location, the main scenarious, considered within the framework of the study are : distribution network conncetion, creation of a diesel power plant, creation of an autonomous hybrid micro-grid based on wind power plants and energy storage. In the study, a load forecast has been made and a methodology for determining the installed capacity of the main generation sources is presented. According to the criteria of technological efficiency and environmental safety, the option of creating an autonomous microgrid was adopted for implementation.
Strategic planning of renewable energy sources implementation following the country-wide goals of energy sector development Alexandra Khalyasmaa, Stanislav Eroshenko, Andrey Bramm, Duc Chung Tran, Piepur Chakravarthi Teja, Ramachandran Hariprakash Proceedings of the International Conference on Smart Technologies in Computing Electrical and Electronics Icstcee 2020, 2020 The paper describes the methodology for consideration of renewable energy sources in strategic plans of fuel and energy sector development. The inclusion of renewable energy projects in energy development programs is carried out based on the results of an integrated ranking of technical, economic and environmental criteria. For power generation facilities based on renewable energy sources, the energy potential is additionally addressed in accordance with the list of power generation technologies under consideration, which makes it possible to obtain the values of the installed capacity utilization factors, and, as a consequence, to judge on the technological and commercial feasibility of renewable energy projects implementation. The paper provides an example of a ranked list formulation of renewable energy projects for a real regional power system.
RECENT SCHOLAR PUBLICATIONS
RETRACTED ARTICLE: Predicting the supreme court decision on appeal cases using hierarchical convolutional neural network N Sivaranjani, J Jayabharathy, PC Teja International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 2021 Citations: 19
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 2020 Citations: 28
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 2020 Citations: 11
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 2020 Citations: 10
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 2019 Citations: 54
Prediction of Solar Power Generation Based on Random Forest Regressor Model. 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON … AI Khalyasmaa, SA Eroshenko, TP Chakravarthy, SKR Atluri, S Karrolla Prediction of Solar Power Generation Based on Random Forest Regressor Model … , 2019 2019 Citations: 8
MOST CITED SCHOLAR PUBLICATIONS
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 2019 Citations: 54
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 2020 Citations: 28
RETRACTED ARTICLE: 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 2021 Citations: 19
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 2020 Citations: 11
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 2020 Citations: 10
Prediction of Solar Power Generation Based on Random Forest Regressor Model. 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON … AI Khalyasmaa, SA Eroshenko, TP Chakravarthy, SKR Atluri, S Karrolla Prediction of Solar Power Generation Based on Random Forest Regressor Model … , 2019 2019 Citations: 8
