Author:
Kumar Sanjeeva,Hampannavar Santoshkumar,Choudhary Abhishek,Mansani Swapna
Publisher
Springer Nature Singapore
Reference18 articles.
1. Saini VK, Kumar R, Mathur A, Saxena A (2020) Short term forecasting based on hourly wind speed data using deep learning algorithms, ICETCE-2020, 978-1-7281-1683-9/20/$31.00 ©2020
2. Fallah SN, Ganjkhani M, Shamshirband S, Chau K (2019) Computational intelligence on short-term load forecasting: a methodological overview. Energies 12: 393. https://doi.org/10.3390/en12030393
3. Thokala NK, Bapna A, Girish Chandra M (2018) A deployable electrical load forecasting solution for commercial buildings, 978-1-5090-5949-2/18/$31.00©2018 IEEE (1101 to 1106)
4. Hampannavar S, Patil KN, Manasani S, Udaykumar RY, Mandi RP, Nandakumar C (2021) Wind potential assessment for micropower generation in tropical wet climate of India. In: Gupta OH, Sood VK (eds) Recent advances in power systems. Lecture Notes in Electrical Engineering, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-15-7994-3_31
5. Himabindu N, Hampannavar S, Deepa B, Swapna M (2021) Analysis of microgrid integrated Photovoltaic (PV) Powered Electric Vehicle Charging Stations (EVCS) under different solar irradiation conditions in India: a way towards sustainable development and growth. Energy Rep 7: 8534–8547, ISSN 2352-4847. https://doi.org/10.1016/j.egyr.2021.10.103