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 royal nomadic 5413 rug 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 practi

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Effect of Dietary Inclusion of Probiotic, Prebiotic and Butyric Acid Glycerides on Resistance against Coccidiosis in Broiler Chickens

This research was conducted to investigate the effects of single or combined use of probiotic (Primalac), prebiotic (Fermacto) and butyric acid glycerides (Baby C4) compared to salinomycin on resistance against coccidiosis in broiler chickens challenged with Eimeria.One day-old male Ross 308 broiler chicks were divided into 9 cages with 15 birds pe

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Some Problems of the Implementation of Administrative Responsibility for Violations of the Legislation on Contract System in the Procurement Sphere

He article considers the issues of application of Article 6.9 of the Code of Administrative Offences of the Russian Federation and the significance of the practice of implementation of this legal norm to counteraction to illegal drug use.The author here estimates the possibility of dealing all cases of illegal use of narcotic drugs and psychotropic

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