DISTRIBUTED DEEP REINFORCEMENT LEARNING-BASED MULTI-OBJECTIVE INTEGRATED HEAT MANAGEMENT METHOD FOR WATER-COOLING PROTON EXCHANGE MEMBRANE FUEL CELL

Distributed deep reinforcement learning-based multi-objective integrated heat management method for water-cooling proton exchange membrane fuel cell

In order to improve the operational efficiency and stability of proton exchange membrane fuel cell (PEMFC), a distributed deep reinforcement learning (DDRL)-based integrated control vest strategy is proposed to solve the coordinated control problem of water pump and radiator in stack heat management system.This strategy substitutes the independent

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EFFECT OF SOWING METHODS ON WHEAT PRODUCTION IN POTOHAR, PAKISTAN

The water productivity under rainfed condition may be affected by a multitude of factors including soil moisture at sowing time, quality of wheat seed, soil fertility and delayed rainfall, etc.However, this study focused on yield and water productivity effects in different sowing methods of wheat crop under rainfed condition.The study was conducted

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