Identifying Representative Load Time Series for Load Flow Calculations-Reference-Cited by-同舟云学术

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Identifying Representative Load Time Series for Load Flow Calculations

Published:2017 Issue: Volume: Page:83-93
ISSN:0302-9743
Container-title:Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy
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Author:

Henze Janosch,Kneiske Tanja,Braun Martin,Sick Bernhard

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-71643-5_8

Reference15 articles.

1. Barrows, C., Hummon, M., Jones, W., Hale, E.: Time Domain Partitioning of Electricity Production Cost Simulations. Technical report, National Renewable Energy Laboratory (NREL) (2014)

2. Nason, G.P., Powell, B.: Should we sample a time series more frequently?: decision support via multirate spectrum estimation. J. R. Statist. Soc. A 180(2), 1–30 (2017)

3. Merrick, J.H.: On representation of temporal variability in electricity capacity planning models. Energy Econ. 59, 261–274 (2016)

4. Green, R., Staffell, I., Vasilakos, N.: Divide and conquer? k-means clustering of demand data allows rapid and accurate simulations of the British electricity system. IEEE Trans. Eng. Manag. 61(2), 251–260 (2014)

5. Poncelet, K., Hoschle, H., Delarue, E., Virag, A., D’haeseleer, W.: Selecting representative days for capturing the implications of integrating intermittent renewables in generation expansion planning problems. IEEE Trans. Power Syst. 32(3), 1936–1948 (2017)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reporting Interval Impact on Deep Residential Energy Measurement Prediction;2021 IEEE 11th International Workshop on Applied Measurements for Power Systems (AMPS);2021-09-29

2. Sampling Strategies for Representative Time Series in Load Flow Calculations;Data Analytics for Renewable Energy Integration. Technologies, Systems and Society;2018

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