DEVELOPMENT OF ENERGY MANAGEMENT IN SMART MICROGRID SYSTEMS USING DEEP Q-LEARNING METHOD TO INCREASE RENEWABLE FRACTION AND BATTERY UTILIZATION, AS WELL AS REDUCING THE LEVELZED COST OF ELECTRICITY

<p align="justify">Microgrid (MG), as an intelligent electrical energy system entity that realizes the integration of renewable energy sources, is the answer to the increasing need for electrical energy along with the depletion of fossil energy reserves. However, the intermittent nat...

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Bibliographic Details
Main Author: Mahardika P. Setiawan, Fadhila
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/81494
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Institution: Institut Teknologi Bandung
Language: Indonesia
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