2023
DOI: 10.1016/j.enbuild.2023.112811
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Classification of energy use patterns and multi-objective optimal scheduling of flexible loads in rural households

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Cited by 14 publications
(7 citation statements)
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“…Thus, some researches have considered these factors to further analyze system operating strategies. Luo et al [43] took full account of the different energy use patterns in different rural areas to analyze system characteristics, and provided a comprehensive operating strategy to different regions based on multi-objective optimization. Zhu et al [44] developed an optimal scheduling strategy with energy pricing policies, and applied it to a rural PV-battery-electric vehicle system.…”
Section: Optimization Methodsmentioning
confidence: 99%
“…Thus, some researches have considered these factors to further analyze system operating strategies. Luo et al [43] took full account of the different energy use patterns in different rural areas to analyze system characteristics, and provided a comprehensive operating strategy to different regions based on multi-objective optimization. Zhu et al [44] developed an optimal scheduling strategy with energy pricing policies, and applied it to a rural PV-battery-electric vehicle system.…”
Section: Optimization Methodsmentioning
confidence: 99%
“…An RBF kernel, also known as the Gaussian kernel, was used in our study. It was also used in [16], because it is infinitely divisible, and is therefore smooth. The general restrictions of SVR (8) do not apply in this case, as the RBF kernel defines φ(x i ) implicitly, and therefore, no explicit transformation is required as in the linear kernel case.…”
Section: Forecast Modelsmentioning
confidence: 99%
“…Conversely, lower γ values lead to a broader influence, extending the influence of each training point to a larger region. In reference [16], a thorough comparison of various kernels was conducted, and as a result, no additional explanations will be provided in this context.…”
Section: Forecast Modelsmentioning
confidence: 99%
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