Abstract
The debate on greenhouse gases (GHS), emissions from polluting sources & its health effects, climate Change, increased energy needs, and the use of non-conventional/renewable energy sources has reached a steady state. In country like India, apart from solar, high energy wind sources could also be used in selected locations. Therefore, not only renewable energy but energy mix is a viable proposition to meet increased energy needs. Though solar panels are installed all over the world to meet ever increasing energy needs and reduce carbon footprints, selection of Optimal Solar Power Generating System is a complex issue and could be labeled as multi constraints fuzzy optimization problem. The paper presents a novel method with a case study to address the issue of the optimal election strategy of solar energy system.
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Dand, A., Patil, C., Deshpande, A. (2018). Can Multi-constraint Fuzzy Optimization Bring Complex Problems in Selecting Optimal Solar Power Generating System into Focus?. In: Melin, P., Castillo, O., Kacprzyk, J., Reformat, M., Melek, W. (eds) Fuzzy Logic in Intelligent System Design. NAFIPS 2017. Advances in Intelligent Systems and Computing, vol 648. Springer, Cham. https://doi.org/10.1007/978-3-319-67137-6_1
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DOI: https://doi.org/10.1007/978-3-319-67137-6_1
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