Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques
Description
This Brief highlights a novel model to find out the feasibility of any location to produce solar energy. The model utilizes the latest multi-criteria decision making techniques and artificial neural networks to predict the suitability of a location to maximize allocation of available energy for producing optimal amount of electricity which will satisfy the demand from the market. According to the results of the case studies further applications are encouraged.
Keywords
Technology & EngineeringPower ResourcesAlternative & RenewableComputersArtificial IntelligenceEngineering (General)ElectricalBusiness & EconomicsEnvironmental EconomicsScienceEarth SciencesMeteorology & Climatology
2016Book
Author(s)Mrinmoy Majumder, Apu K. Saha
PublisherSpringer Nature Singapore
ISBN9789812873071
LanguageEnglish
