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A demand side energy scheduling method for energy-saving buildings based on priority weights

Yining Sun

International Journal of Global Energy Issues2025https://doi.org/10.1504/ijgei.2025.147241article
ABDC C
Weight
0.41

What the paper says

In order to improve the voltage stability of energy scheduling and shorten scheduling time, a priority weighted demand side energy scheduling method for energy-saving buildings is proposed. Firstly, analyse the demand side incentive response behaviour of energy-saving buildings through load superposition. Secondly, construct priority decision-making indicators for energy scheduling. Construct a hesitant fuzzy matrix and calculate the membership score, and calculate the correlation coefficient between priority indicators. Finally, based on the correlation coefficient of the indicators, priority weights are calculated, and on the basis of normalised calculation of priority weights, an energy scheduling function is constructed to transform the scheduling engineering problem into a mathematical problem, solving the scheduling function to complete the demand side energy scheduling of energy-saving buildings. The experimental results show that the proposed method can shorten the time of energy scheduling, and the maximum scheduling time of the proposed method does not exceed 4 minutes.

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https://doi.org/https://doi.org/10.1504/ijgei.2025.147241

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@article{yining2025,
  title        = {{A demand side energy scheduling method for energy-saving buildings based on priority weights}},
  author       = {Yining Sun},
  journal      = {International Journal of Global Energy Issues},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijgei.2025.147241},
}

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A demand side energy scheduling method for energy-saving buildings based on priority weights

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Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.