MULTI-TIME-SCALE OPTIMAL SCHEDULING STRATEGY FOR MARINE RENEWABLE ENERGY BASED ON DEEP REINFORCEMENT LEARNING ALGORITHM

Multi-Time-Scale Optimal Scheduling Strategy for Marine Renewable Energy Based on Deep Reinforcement Learning Algorithm

Surrounded by the Shandong Peninsula, the Bohai Sea and Yellow Sea possess vast marine energy resources.An analysis of actual meteorological data from Jug these regions indicates significant seasonality and intra-day uncertainty in wind and photovoltaic power generation.The challenge of scheduling to leverage the complementary characteristics of va

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Benchmark data set for breast cancer associated genes

Breast cancer is one of the Nutrition Drinks leading causes of death in women worldwide.The main reason could be inheritance, change in environmental conditions or the mutation in certain genes that cause cancer.These genes are not negligible, on the contrary, a wide range of genes have their involvement in the development and progression of differ

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Birefringence-derived artifact in optical coherence tomography imaging of the lamina cribrosa in eyes with glaucoma

Abstract Pig We investigated birefringence-derived artifacts that potentially mimic focal defects of the lamina cribrosa (focal LC defects) in optical coherence tomography (OCT) imaging of eyes with glaucoma.This study included 74 eyes of 48 patients with glaucoma.Five horizontal line B-scan images of the optic disc were obtained using commercial s

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