Dynamic prediction of energy delivery capacity of power networks: Unlocking the value of real-time measurements
Dynamic prediction of energy delivery capacity of power networks: Unlocking the value of real-time measurements
复制标题
电力网络能量输送能力的动态预测：释放实时测量的价值
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
J. Lilien
中科院分区：
文献类型：
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作者：
Peter Schell;L. Jones;Philippe Mack;B. Godard;J. Lilien
The paper focuses on advances in short-term prediction (1-4 Hours) of dynamic line rating as an example of what can be achieved by the combination of advanced network sensors and the latest machine learning, data-mining tools. Combining these tools has allowed us to achieve reliable and usable predictions that allow the network operators to switch from a static approach to a manageable dynamic one that significantly increases asset utilisation without reducing security of supply.
