Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques
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 prod...
Call Number: | Libro Electrónico |
---|---|
Main Authors: | Majumder, Mrinmoy (Author), Saha, Apu K. (Author) |
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2016.
|
Edition: | 1st ed. 2016. |
Series: | SpringerBriefs in Energy,
|
Subjects: | |
Online Access: | Texto Completo |
Similar Items
-
Impact of Climate Change on Hydro-Energy Potential A MCDM and Neural Network Approach /
by: Majumder, Mrinmoy, et al.
Published: (2016) -
Minimization of Climatic Vulnerabilities on Mini-hydro Power Plants Fuzzy AHP, Fuzzy ANP Techniques and Neuro-Genetic Model Approach /
by: Majumder, Mrinmoy
Published: (2016) -
Solar Photovoltaic System Applications A Guidebook for Off-Grid Electrification /
Published: (2016) -
Impact of Climate Change on Small Scale Hydro-turbine Selections
by: Roy, Uttam, et al.
Published: (2016) -
Vulnerability of Watersheds to Climate Change Assessed by Neural Network and Analytical Hierarchy Process
by: Roy, Uttam, et al.
Published: (2016)