Affiliation:
1. SAM College of Engineering and Technology, Bhopal, MP, India
Abstract
In order to sustain monetary growth, the introduction of renewable energy into the electricity grid is crucial especially for many foreign African locations. Thus, in order to reap sustainable strength, these foreign locations may also outfit their airport electrical equipment with advanced synthetic intelligence technologies. For a distributive hybrid solar strength grid, the paper attempts to propose an actual-time energy management algorithm. It continues with the combining of photovoltaic and wind energy for network simulation. As a function of the number of wind aero-mills and photovoltaic solar panels, a multi-goal approach is proposed to optimize the spectral efficiency of the location and the energy performance. For the MATLAB software simulation, radio criteria for Cell Wireless Interoperability Medium Access (WiMAX) technologies are taken into account. The obtained effects are much mitigated however theoretically encouraging for the mixing of green energy integration into the modern telecommunication structures
Reference15 articles.
1. [1] D. E. Rumelhart, G. E. Hinton and R. J. Williams, ‘Learning Internal Representations by ErrorPropagation’, Parallel Distributed Processing: Explorations in the Microstructure of Cognition, 1,(Cambridge, MA, MIT Press, 1986), chapter 8.
2. [2] P. J. Werbos, ‘Beyond Regression: New Tools for Prediction and Analysis in the behaviouralScience’, PhD Thesis, Harvard University, Cambridge, MA, (1974).
3. [3] S. A. Kalogirou, ‘Application of Artificial Neural Networks for Energy Systems’, Applied Energy,67(1–2) (2001), 17–35.
4. [4] S. A. Kalogirou, ‘Artificial Neural Networks in Renewable Energy Systems: A Review’, Renewable& Sustainable Energy Reviews, 5(4) (2001), 373–401.
5. [5] S. A. Kalogirou, S. Panteliou and A. Dentsoras, ‘Artificial Neural Networks used for the Performance Prediction of a Thermosyphon Solar Water Heater’, Renewable Energy, 18(1) (1999), 87–99.