Weather Forecasting Using Photovoltaic System and Neural Network
作者： Iza Sazanita Isa , Saodah Omar , Zuraidi Saad , Norhayati Mohamad Noor , Muhammad Khusairi Osman
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摘要: This paper presents the applicability of Artificial Neural Network (ANN) for weather forecasting using a Photovoltaic system. The main objective is to predict daily conditions based on various measured parameters gained from PV In this work, Multiple Multilayer Perceptron (MMLP) network with majority voting technique was used and trained Levenberg Marquardt (LM) algorithm. Voting widely in many applications solve real world problem. Different techniques are such as rules, decision making, consensus democracy, government supermajority. way different depending problem involved. Majority applied study so that performance MMLP can be approved compared single MLP network. proposed work has been classify four conditions; rain, cloudy, dry day storm. system represent warning likely adverse conditions. Experimental results demonstrate gives better than conventional ANN concept choosing an least number hidden neurons.
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