HIERARCHICAL POWER ALLOCATION CONTROL FOR STAR-CONNECTED HYBRID ENERGY STORAGE SYSTEM USING CASCADED MULTILEVEL CONVERTERS

Hierarchical Power Allocation Control for Star-Connected Hybrid Energy Storage System Using Cascaded Multilevel Converters

Hybrid energy storage system (HESS) using cascaded multilevel converters (CMC) has received increasing attention due to its merits on smoothing power fluctuations for renewable energy systems (RESs).However, CMC-based HESS Accent Cabinet still faces tough challenges due to asymmetrical ac power distribution.In this paper, hierarchical power allocat

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Integrating Multi-Layer Perceptron Regression with Innovative Optimization for Accurate Building Cooling Load Prediction

This study explores the application of a machine learning model called Multi-Layer Perceptron Regression (MLPR) Homecare for building cooling demand prediction.Through a hybridization technique with two cutting-edge optimization algorithms, the Brown Bear Optimization Algorithm (BBOA) and the Non-Monopolize Search Algorithm (NMSA), it sets out to e

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