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Assessing climate sensitivity of peak electricity load for resilient power systems planning and operation: A study applied to the Texas region. (2019). Nateghi, Roshanak ; Mukherjee, Sayanti ; Alipour, Panteha.
In: Energy.
RePEc:eee:energy:v:185:y:2019:i:c:p:1143-1153.

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  1. Bayesian forecasting in economics and finance: A modern review. (2024). Koop, Gary ; Huber, Florian ; Loaiza-Maya, Ruben ; Maneesoonthorn, Worapree ; Frazier, David T ; Martin, Gael M ; Panagiotelis, Anastasios ; Nibbering, Didier ; Maheu, John.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:40:y:2024:i:2:p:811-839.

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  2. Correlation as a method to assess electricity users’ contributions to grid peak loads: A case study. (2024). Jonasson, Erik ; Wallberg, Alexander ; Flygare, Carl ; Waters, Rafael ; Castellucci, Valeria.
    In: Energy.
    RePEc:eee:energy:v:288:y:2024:i:c:s0360544223031997.

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  3. Bayesian Forecasting in the 21st Century: A Modern Review. (2023). Maheu, John ; Panagiotelis, Anastasios ; Nibbering, Didier ; Koop, Gary ; Huber, Florian ; Loaiza-Maya, Ruben ; Frazier, David T ; Martin, Gael M.
    In: Monash Econometrics and Business Statistics Working Papers.
    RePEc:msh:ebswps:2023-1.

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  4. Assessing low frequency variations in solar and wind power and their climatic teleconnections. (2022). Kozulj, Roberto ; Guozden, Tomas ; Bianchi, Emilio.
    In: Renewable Energy.
    RePEc:eee:renene:v:190:y:2022:i:c:p:560-571.

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  5. National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?. (2022). Cho, Youngsang ; Lee, Juyong.
    In: Energy.
    RePEc:eee:energy:v:239:y:2022:i:pd:s0360544221026153.

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  6. Bayesian Forecasting in the 21st Century: A Modern Review. (2022). Koop, Gary ; Huber, Florian ; Loaiza-Maya, Ruben ; Maneesoonthorn, Worapree ; Frazier, David T ; Martin, Gael M ; Panagiotelis, Anastasios ; Nibbering, Didier ; Maheu, John .
    In: Papers.
    RePEc:arx:papers:2212.03471.

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  7. A multifaceted risk assessment approach using statistical learning to evaluate socio-environmental factors associated with regional felony and misdemeanor rates. (2021). Mukherjee, Sayanti ; Ganguly, Prasangsha.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:574:y:2021:i:c:s0378437121002569.

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References

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  8. Assessing climate sensitivity of peak electricity load for resilient power systems planning and operation: A study applied to the Texas region. (2019). Nateghi, Roshanak ; Mukherjee, Sayanti ; Alipour, Panteha.
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  9. Deep learning for multi-scale smart energy forecasting. (2019). Chen, Huanxin ; Ahmad, Tanveer.
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  10. Performance Analysis of Short-Term Electricity Demand with Atmospheric Variables. (2018). Kittipiyakul, Somsak ; Chapagain, Kamal.
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