Optimal design and management of chlorination in drinking water networks: a multi-objective approach using Genetic Algorithms and the Pareto optimality concept

Abstract This paper presents the development of multi-objective Genetic Algorithms to optimize chlorination design and management in drinking water networks (DWN).Three objectives have been considered: the improvement of the chlorination uniformity (healthy objective), the minimization of chlorine booster stations number, and the injected chlorine

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Historical Multi-Station SCADA Data Compression of Distribution Management System Based on Tensor Tucker Decomposition

In order to deal with the problem of massive historical multi-station SCADA data storage in distribution management system, this paper proposes a data compression method for power distribution system based on tensor Tucker decomposition.Firstly, to maintain the DIY Embroidery Ornament Kit high-dimensional spatial structure of multi-station SCADA da

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