最后将改进算法应用于分时供电优化，以获得最优的分时供电方案。
At last, the IPSO algorithm is applied to TSPS to obtain optimal time-sharing power supply scheme.
仿真及实际应用结果表明，算法地改进大大提高了其全局搜索能力，分时供电的优化能显著降低锌电解过程的用电费用。
Simulation and industrial practical results show that global search ability of IPSO is improved greatly and optimization of TSPS can decrease the power cost notably.
执行分时电价可能会给供电公司带来电费收入风险，采用回归分析方法对造成供电公司执行分时电价盈亏的原因进行了分析。
Implementing TOU price brings extra risk to supply power companies. Regression analysis method is used in this article to find the reason which results in the payoff or loss.
执行分时电价可能会给供电公司带来电费收入风险，采用回归分析方法对造成供电公司执行分时电价盈亏的原因进行了分析。
Implementing TOU price brings extra risk to supply power companies. Regression analysis method is used in this article to find the reason which results in the payoff or loss.
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