Point Estimate Method Addressing Correlated Wind Power for Probabilistic Optimal Power Flow

By C. Saunders. IEEE Transactions on Power Systems, 2014

138 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Environmental Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/a58ba52b31b284df3a8672bc08ee8aade11b18dc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Feng Liu
2. Chen Shen
3. Zhiwen Wang
4. Xiangyu Wu
5. Feng Gao
6. Chen-Ching Liu

In Environmental Engineering

1. Feng Liu
2. Chen Shen
3. Zhiwen Wang
4. Xiangyu Wu
5. Feng Gao
6. Chen-Ching Liu

In Statistics and Probability

1. Feng Liu
2. Chen Shen
3. Zhiwen Wang
4. Xiangyu Wu
5. Feng Gao
6. Chen-Ching Liu

Citations in the corpus

• Chance-Constrained Economic Dispatch With Non-Gaussian Correlated Wind Power Uncertainty (2017, methodology): “, Monte Carlo Simulation (MCS) [4], point estimation [5], and cumulant-based series expansion [6], these methods need improvement in efficiency and accuracy [7].”