Power load forecasting is the foundation of urban power grid planning, and saturated electricity power is a key indicator for determining the ultimate power grid scale when performing the urban power grid planning. Taken Hubei province as the empirical example, the saturated electricity power is studied by employing Logistic curve model in this paper. Firstly, the electricity power consumption and annual maximum power load of Hubei province are forecasted; then, the saturated time and scale are determined according to the judgment criteria of electricity power saturation. The calculation result shows the electricity power of Hubei province will reach saturation at 2042-2043, and the electricity power consumption and annual maximum power load will reach to 377.89 billion kWh and 66.2499 million kW, respectively.
| Published in |
International Journal of Energy and Power Engineering (Volume 3, Issue 6-1)
This article belongs to the Special Issue Energy Conservation and Management |
| DOI | 10.11648/j.ijepe.s.2014030601.11 |
| Page(s) | 1-5 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Saturated Power Load, Logistic Curve Model, Forecasting, Hubei Province
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APA Style
Huiru Zhao, Sen Guo, Jia Zhou, Huijuan Huo, Wanlei Xue. (2014). Saturated Electricity Power Analysis Based on Logistic Curve Model. International Journal of Energy and Power Engineering, 3(6-1), 1-5. https://doi.org/10.11648/j.ijepe.s.2014030601.11
ACS Style
Huiru Zhao; Sen Guo; Jia Zhou; Huijuan Huo; Wanlei Xue. Saturated Electricity Power Analysis Based on Logistic Curve Model. Int. J. Energy Power Eng. 2014, 3(6-1), 1-5. doi: 10.11648/j.ijepe.s.2014030601.11
AMA Style
Huiru Zhao, Sen Guo, Jia Zhou, Huijuan Huo, Wanlei Xue. Saturated Electricity Power Analysis Based on Logistic Curve Model. Int J Energy Power Eng. 2014;3(6-1):1-5. doi: 10.11648/j.ijepe.s.2014030601.11
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Download@article{10.11648/j.ijepe.s.2014030601.11,
author = {Huiru Zhao and Sen Guo and Jia Zhou and Huijuan Huo and Wanlei Xue},
title = {Saturated Electricity Power Analysis Based on Logistic Curve Model},
journal = {International Journal of Energy and Power Engineering},
volume = {3},
number = {6-1},
pages = {1-5},
doi = {10.11648/j.ijepe.s.2014030601.11},
url = {https://doi.org/10.11648/j.ijepe.s.2014030601.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.s.2014030601.11},
abstract = {Power load forecasting is the foundation of urban power grid planning, and saturated electricity power is a key indicator for determining the ultimate power grid scale when performing the urban power grid planning. Taken Hubei province as the empirical example, the saturated electricity power is studied by employing Logistic curve model in this paper. Firstly, the electricity power consumption and annual maximum power load of Hubei province are forecasted; then, the saturated time and scale are determined according to the judgment criteria of electricity power saturation. The calculation result shows the electricity power of Hubei province will reach saturation at 2042-2043, and the electricity power consumption and annual maximum power load will reach to 377.89 billion kWh and 66.2499 million kW, respectively.},
year = {2014}
}
TY - JOUR T1 - Saturated Electricity Power Analysis Based on Logistic Curve Model AU - Huiru Zhao AU - Sen Guo AU - Jia Zhou AU - Huijuan Huo AU - Wanlei Xue Y1 - 2014/08/20 PY - 2014 N1 - https://doi.org/10.11648/j.ijepe.s.2014030601.11 DO - 10.11648/j.ijepe.s.2014030601.11 T2 - International Journal of Energy and Power Engineering JF - International Journal of Energy and Power Engineering JO - International Journal of Energy and Power Engineering SP - 1 EP - 5 PB - Science Publishing Group SN - 2326-960X UR - https://doi.org/10.11648/j.ijepe.s.2014030601.11 AB - Power load forecasting is the foundation of urban power grid planning, and saturated electricity power is a key indicator for determining the ultimate power grid scale when performing the urban power grid planning. Taken Hubei province as the empirical example, the saturated electricity power is studied by employing Logistic curve model in this paper. Firstly, the electricity power consumption and annual maximum power load of Hubei province are forecasted; then, the saturated time and scale are determined according to the judgment criteria of electricity power saturation. The calculation result shows the electricity power of Hubei province will reach saturation at 2042-2043, and the electricity power consumption and annual maximum power load will reach to 377.89 billion kWh and 66.2499 million kW, respectively. VL - 3 IS - 6-1 ER -
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