SHORT-TERM SOLAR POWER FORECASTING USING ARTIFICIAL NEURAL NETWORKS AND EXTREME LEARNING MACHINE

SHORT-TERM SOLAR POWER FORECASTING USING ARTIFICIAL NEURAL NETWORKS AND EXTREME LEARNING MACHINE

Indonesia is a tropical country with massive potential of solar power. The grid operator has to prepare the strategies to mitigate its intermittency behaviour. The power grid must be more flexible to receive the fluctuated power from PV. There are some options to enhance system flexibility in dea...

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Bibliographic Details
Main Author:	Ahmad Hanafi, Rois
Format:	Theses
Language:	Indonesia
Online Access:	https://digilib.itb.ac.id/gdl/view/36659
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Institut Teknologi Bandung
Language:	Indonesia

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