Open Access
Issue |
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
|
|
---|---|---|
Article Number | 08004 | |
Number of page(s) | 9 | |
Section | Energy Management System | |
DOI | https://doi.org/10.1051/e3sconf/202454008004 | |
Published online | 21 June 2024 |
- Mukisa, N., Zamora, R., & Lie, T. T. (2022). Energy Business Initiatives for Grid-Connected Solar Photovoltaic Systems: An Overview. Sustainability, 14(22), 15060 [CrossRef] [Google Scholar]
- Horváth, D., & Szabó, R. Z. (2018). Evolution of photovoltaic business models: Overcoming the main barriers of distributed energy deployment. Renewable and Sustainable Energy Reviews, 90, 623–635. [CrossRef] [Google Scholar]
- Strupeit, L., & Palm, A. (2016). Overcoming barriers to renewable energy diffusion: business models for customer-sited solar photovoltaics in Japan, Germany and the United States. Journal of Cleaner Production, 123, 124–136. [CrossRef] [Google Scholar]
- Klein, S. J., Hargreaves, A., & Coffey, S. (2021). A financial benefit-cost analysis of different community solar approaches in the Northeastern US. Solar Energy, 213, 225–245. [CrossRef] [Google Scholar]
- Barbosa, L., Ferrao, P., Rodrigues, A., & Sardinha, A. (2018). Feed-in tariffs with minimum price guarantees and regulatory uncertainty. Energy Economics, 72, 517–541. [CrossRef] [Google Scholar]
- Michas, S., Stavrakas, V., Spyridaki, N. A., & Flamos, A. (2019). Identifying Research Priorities for the further development and deployment of Solar Photovoltaics. International Journal of Sustainable Energy, 38(3), 276–296. [CrossRef] [Google Scholar]
- Milanés-Montero, P., Arroyo-Farrona, A., & Pérez-Calderón, E. (2018). Assessment of the influence of feed-in tariffs on the profitability of European photovoltaic companies. Sustainability, 10(10), 3427. [Google Scholar]
- IEA PVPS, P. V. P. S. (2015). Trends 2015 in photovoltaic applications. Report IEAPVPS T1-27. [Google Scholar]
- Wstenhagen, R., & Wuebker, R. (Eds.). (2011). The handbook of research on energy entrepreneurship. Edward Elgar Publishing. [CrossRef] [Google Scholar]
- Hortoványi, L. (2016). The dynamic nature of competitive advantage of the firm. Advances in Economics and Business, 4(11), 624–629. [Google Scholar]
- Balaji V., Sekar K., Duraisamy V., Uma S & Raghavendran T.S., (2015), “Performance analysis of energy management controller for stand alone solar power generation system using soft computing techniques”, Jurnal Teknologi, 76(12). [Google Scholar]
- Ashok V., Geetha N.B., Rajkumar S & Pauline T., (2022), “Experimental Investigations for Thermal Energy Management by Encapsulation of Nano -Enhanced Bio Phase Change Material in buildings”, Energy Sources, Part A: Recovery, Utilization and Environmental Effects, 44(2). [Google Scholar]
- Heinrichs, H. (2013). Sharing economy: a potential new pathway to sustainability. GAIA-Ecological Perspectives for Science and Society, 22(4), 228–231. [CrossRef] [Google Scholar]
- Bleicher, J., & Stanley, H. (2017). Digitization as a catalyst for business model innovation a three-step approach to facilitating economic success. Journal of Business Management, 12. [Google Scholar]
- Eid, C., Guillén, J. R., Marín, P. F., & Hakvoort, R. (2014). The economic effect of electricity net-metering with solar PV: Consequences for network cost recovery, cross subsidies and policy objectives. Energy Policy, 75, 244–254. [CrossRef] [Google Scholar]
- Jägemann, C., Hagspiel, S., & Lindenberger, D. (2013). The economic inefficiency of grid parity: The case of German photovoltaics (No. 13/19). EWI working paper. [Google Scholar]
- Rogers, E. M., Singhal, A., & Quinlan, M. M. (2014). Diffusion of innovations. In An integrated approach to communication theory and research (pp. 432–448). Routledge. [Google Scholar]
- Munsell, M. (2014). Market Share for Leasing Residential Solar to Peak in 2014. Greentech Media, 24. [Google Scholar]
- M L B., Sripriya T., Muthuraj B., Kumar D.S., Venkatesh V., Sridevi B.S., Krishna M.M.S., Rajan K.& Diriba A., (2022), “Deep Learning-Based Smart Hybrid Solar Water Heater Erection Model to Extract Maximum Energy”, International Journal of Photoenergy. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.