DEEP REINFORCEMENT LEARNING FOR THE OPTIMIZED OPERATION OF LARGE AMOUNTS OF DISTRIBUTED RENEWABLE ENERGY ASSETS

Deep reinforcement learning for the optimized operation of large amounts of distributed renewable energy assets

This study utilizes machine learning and, more specifically, reinforcement learning (RL) to allow for an optimized, real-time operation of large numbers of decentral flexible assets on private household scale in the electricity domain.The potential and current obstacles of RL are demonstrated and a guide for interested practitioners depileve easy c

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Nontraumatic intra-diploic arachnoid cyst communicating with sphenoid bone and in close proximity to cavernous sinus in a known case of Wilson disease: A rare entity

Arachnoid cysts can be intra-cranial or along the spinal cord.Intracranial arachnoid cyst is a very rare finding, trauma being the leading case of it.It is extremely rare for michael harris sunglasses the development of intra-diploic arachnoid cyst without a traumatic history.We present a case of an intra-diploic arachnoid cyst communicating with t

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Numerical Comparison of Thermohydraulic Performance and Fluid-Induced Vibrations for STHXs with Segmental, Helical, and Novel Clamping Antivibration Baffles

The most extensively used heat exchanger in numerous research fields and industrial processes is the shell and tube heat exchanger.The selection of the baffle plays a vital role to regulate and increase the thermohydraulic performance and also to decrease fluid-induced vibrations due to shell side flow.3-D computational fluid dynamics (CFD) and flu

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