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Optimal prediction intervals of wind power generation
Can Wan
,
Zhao Xu
, Pierre Pinson
, Zhao Yang Dong
, Kit Po Wong
The Hong Kong Polytechnic University
Research output
:
Journal article publication
›
Journal article
›
Academic research
›
peer-review
327
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Citations (Scopus)
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Dive into the research topics of 'Optimal prediction intervals of wind power generation'. Together they form a unique fingerprint.
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Keyphrases
Wind Power Generation
100%
Prediction Interval
100%
Optimal Prediction
100%
High Reliability
66%
Australia
33%
Extreme Learning Machine
33%
Potential Impact
33%
Statistical Distribution
33%
System Operation
33%
Potential Risk
33%
Power System
33%
Unique Solution
33%
Confidence Level
33%
Novel Hybrids
33%
Statistical Inference
33%
Particle Swarm Optimization
33%
Power System Operation
33%
Wind Farm
33%
Interval Forecasting
33%
Algorithm Approach
33%
Coverage Probability
33%
Generalized Framework
33%
Wind Power Penetration
33%
Farm Data
33%
Direct Optimization
33%
Hybrid Intelligent Algorithm
33%
Wind Power Forecasting
33%
Probabilistic Wind Power Forecasting
33%
Forecast Error
33%
High Efficiency
33%
High Flexibility
33%
Engineering
Wind Power
100%
Wind Power Generation
100%
Experimental Result
50%
System Operation
50%
Power System Operation
50%
Confidence Level
50%
Extreme Learning Machine
50%
Power Engineering
50%
Australia
50%
Particle Swarm Optimization
50%
Compressed Air Motors
50%
Computer Science
Energy Generation
100%
Prediction Interval
100%
High Reliability
66%
System Operation
66%
Unique Solution
33%
Particle Swarm Optimization
33%
Interval Forecasting
33%
Extreme Learning Machine
33%
Case Study
33%
Experimental Result
33%
Confidence Level
33%