Search Results - "Methaprayoon, K."

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  1. 1

    An Integration of ANN Wind Power Estimation Into Unit Commitment Considering the Forecasting Uncertainty by Methaprayoon, K., Yingvivatanapong, C., Wei-Jen Lee, Liao, J.R.

    Published in IEEE transactions on industry applications (01-11-2007)
    “…The development of wind power generation has rapidly progressed over the last decade. With the advancement in wind turbine technology, wind energy has become…”
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    Journal Article
  2. 2

    Multiregion Load Forecasting for System With Large Geographical Area by Shu Fan, Methaprayoon, K., Wei-Jen Lee

    Published in IEEE transactions on industry applications (01-07-2009)
    “…In a power system covering a large geographical area, a single model for load forecasting of the entire area sometimes cannot guarantee satisfactory…”
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    Journal Article
  3. 3

    Multistage Artificial Neural Network Short-Term Load Forecasting Engine With Front-End Weather Forecast by Methaprayoon, K., Wei-Jen Lee, Rasmiddatta, S., Liao, J.R., Ross, R.J.

    Published in IEEE transactions on industry applications (01-11-2007)
    “…A significant portion of the operating cost of utilities comes from energy production. To minimize the cost, unit commitment (UC) scheduling can be used to…”
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    Journal Article
  4. 4

    Reactive compensation techniques to improve the ride-through capability of wind turbine during disturbance by Chompoo-inwai, C., Yingvivatanapong, C., Methaprayoon, K., Wei-Jen Lee

    Published in IEEE transactions on industry applications (01-05-2005)
    “…World wind energy capacity expanded at an annual rate of 25% during the 1990s. The total world wind turbine installation capacity was approximately 40 000 MW…”
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    Journal Article
  5. 5

    A Novel Approach for Arcing Fault Detection for Medium-/Low-Voltage Switchgear by Wei-Jen Lee, Sahni, M., Methaprayoon, K., Chiman Kwan, Zhubing Ren, Sheeley, J.M.

    Published in IEEE transactions on industry applications (01-07-2009)
    “…Switchgear arcing faults have been a primary cause for concern for the manufacturing industry and safety personnel alike. The deregulation of the power…”
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    Journal Article
  6. 6

    Improve the unit commitment scheduling by using the neural-network-based short-term load forecasting by Saksornchai, T., Wei-Jen Lee, Methaprayoon, K., Liao, J.R., Ross, R.J.

    Published in IEEE transactions on industry applications (01-01-2005)
    “…Unit commitment scheduling of the utility company relies upon the forecast of the demand, demand pattern, availability and capacity of the generators,…”
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    Journal Article
  7. 7

    Closure to discussion of "Reactive compensation techniques to improve the ride-through capability of wind turbine during disturbance" by Chai Chompoo-inwai, Yingvivatanapong, C., Methaprayoon, K., Wei-Jen Lee

    Published in IEEE transactions on industry applications (01-11-2005)
    “…For original article by C. Chompoo-inwai et al. see ibid., vol.41, no.3, p.666-72, May/Jun. 2005 and for discussion by Shih-Min Hsu see ibid., vol.41, no.6,…”
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    Journal Article
  8. 8

    Reactive compensation techniques to improve the ride-through of induction generators during disturbance by Chompoo-inwai, C., Yingvivatanapong, C., Methaprayoon, K., Lee, W.-J.

    “…The total world wind turbine installation capacity has reached around 17,600 MW at the end of 2000. World wind energy capacity has doubled every three years…”
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    Conference Proceeding
  9. 9

    An integration of ANN wind power estimation into UC considering the forecasting uncertainty by Methaprayoon, K., Lee, W.J., Yingvivatanapong, C., Liao, J.

    “…The development of wind generation has rapidly progressed over the last decade. With the advance in wind turbine technologies, wind energy has become…”
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    Conference Proceeding
  10. 10

    Patterns and practices for CIM applications by Khare, R., Khadem, M., Moorty, S., Methaprayoon, K., Jun Zhu

    “…The role of Common Information Model (CIM) in the Electric Utility industry, especially in Smart Grid, is now becoming critical. In a recent letter to FERC,…”
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    Conference Proceeding
  11. 11

    Improve the unit commitment scheduling by using the neural network based short term load forecasting by Saksornchai, T., Wei-Jen Lee, Methaprayoon, K., Liao, J., Ross, R.

    “…Unit commitment scheduling of the utility company relies upon the forecast of the demand, demand pattern, availability and capacity of the generators,…”
    Get full text
    Conference Proceeding
  12. 12

    Neural network-based short term load forecasting for unit commitment scheduling by Methaprayoon, K., Lee, W.J., Didsayabutra, P., Liao, J., Ross, R.

    “…Today's electric power industry is undergoing many fundamental changes due to the process of deregulation. In the new market environment, the power system…”
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    Conference Proceeding
  13. 13

    Multi-region load forecasting considering alternative meteorological predictions by Shu Fan, Methaprayoon, K, Wei-Jen Lee

    Published in IEEE PES General Meeting (01-07-2010)
    “…Electricity load forecasting is always a key instrument for the effective operation and planning of power systems. This paper presents our recent works on…”
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    Conference Proceeding
  14. 14

    Multi-area load forecasting for system with large geographical area by Fan, S., Methaprayoon, K., Lee, W.J.

    “…In a power system covering large geographical area, a single model for overall load forecasting of the entire area sometimes can not guarantee satisfactory…”
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    Conference Proceeding
  15. 15

    Short-term Multi-Region Load Forecasting Based on Weather and Load Diversity Analysis by Fan, S., Methaprayoon, K., Lee, W.J.

    Published in 2007 39th North American Power Symposium (01-09-2007)
    “…In a power system covering large geographical area, a single forecasting model for overall load of the whole region sometimes can not guarantee satisfactory…”
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    Conference Proceeding
  16. 16

    A Novel Approach for Arcing Fault Detection for Medium/Low-Voltage Switchgear by Lee, W.J., Sahni, M., Methaprayoon, K., Kwan, C., Ren, Z., Sheeley, J.

    “…This paper describes the development of a novel approach for the detection of arcing faults in medium/low-voltage switchgear. The basic concept involves the…”
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    Conference Proceeding
  17. 17

    Multi-Stage Artificial Neural Network Short-term Load Forecasting Engine with Front-End Weather Forecast by Methaprayoon, K., Lee, W.J., Rasmiddatta, S., Liao, J., Ross, R.

    “…A significant portion of electric utility operating expense comes from the energy production. In order to minimize the cost, unit commitment (UC) scheduling is…”
    Get full text
    Conference Proceeding