يعرض 1 - 10 نتائج من 62 نتيجة بحث عن '"National Interconnected System"', وقت الاستعلام: 1.75s تنقيح النتائج
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    المساهمون: Velásquez Henao, Juan David, Universidad Nacional de Colombia - Sede Medellín

    وصف الملف: application/pdf

    العلاقة: Alasali, F., Haben, S., Becerra, V., & Holderbaum, W. (2018). Day-ahead industrial load forecasting for electric RTG cranes. Journal of Modern Power Systems and Clean Energy, 6(2), 223–234. https://doi.org/10.1007/s40565-018-0394-4Test; CAISO. (2020). Market processes and products. Retrieved from http://www.caiso.com/market/Pages/MarketProcesses.aspxTest; Comisión de Regulación de Energía y Gas. Resolución CREG 025 de 1995. , (1995).; Comisión de Regulación de Energía y Gas. Resolución CREG 198 de 1997. , (1997).; Comisión de Regulación de Energía y Gas. (2003). Resolución CREG 004 de 2003.; Comisión de Regulación de Energía y Gas. Resolución CREG 051 del 2009. , (2009).; Comisión de Regulación de Energía y Gas. Resolución CREG 038 de 2014. , Comision de Regulacion de Energia y Gas § (2014).; Congreso de Colombia. Ley 142 de 1994. , (2014).; Congreso de Colombia. Ley 143 de 1994. , (2014).; Consejo Nacional de Operación. Acuerdo 1020 Por el cual se aprueban los procedimientos para la gestión integral de la demanda. , (2017).; Deb, C., Zhang, F., Yang, J., Lee, S. E., & Shah, K. W. (2017). A review on time series forecasting techniques for building energy consumption. Renewable and Sustainable Energy Reviews, 74(January), 902–924. https://doi.org/10.1016/j.rser.2017.02.085Test; Fan, S., & Hyndman, R. J. (2012). Short-term load forecasting based on a semi-parametric additive model. IEEE Transactions on Power Systems, 27(1), 134–141. https://doi.org/10.1109/TPWRS.2011.2162082Test; Gaillard, P., Goude, Y., & Nedellec, R. (2016). Additive models and robust aggregation for GEFCom2014 probabilistic electric load and electricity price forecasting. International Journal of Forecasting, 32(3), 1038–1050. https://doi.org/10.1016/j.ijforecast.2015.12.001Test; He, Y., Liu, R., & Han, A. (2017). Short-Term Power Load Probability Density Forecasting Method Based on Real Time Price and Support Vector Quantile Regression. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 37(3), 768–775. https://doi.org/10.13334/j.0258-8013.pcsee.152332Test; Hong, T. (2010). Short Term Electric Load Forecasting.; Hong, T., & Fan, S. (2016). Probabilistic electric load forecasting: A tutorial review. International Journal of Forecasting, 32(3), 914–938. https://doi.org/10.1016/j.ijforecast.2015.11.011Test; Kaur, A., Pedro, H. T. C., & Coimbra, C. F. M. (2013). Impact of onsite solar generation on system load demand forecast. Energy Conversion and Management, 75, 701–709. https://doi.org/10.1016/j.enconman.2013.08.026Test; Luo, J., Hong, T., & Yue, M. (2018). Real-time anomaly detection for very short-term load forecasting. Journal of Modern Power Systems and Clean Energy, 6(2), 235–243. https://doi.org/10.1007/s40565-017-0351-7Test; Ministerio de Minas y Energía. Ley 1715 de 2014. , (2014).; Morita, K., Shiromaru, H., Manabe, Y., Kato, T., Funabashi, T., & Suzuoki, Y. (2017). A study on estimation of aggregated electricity demand for one-hour-ahead forecast. Applied Thermal Engineering, 114, 1443–1448. https://doi.org/10.1016/j.applthermaleng.2016.09.162Test; Nowotarski, J., & Weron, R. (2018). Recent advances in electricity price forecasting: A review of probabilistic forecasting. Renewable and Sustainable Energy Reviews, 81(March 2017), 1548–1568. https://doi.org/10.1016/j.rser.2017.05.234Test; Panapongpakorn, T., & Banjerdpongchai, D. (2019). Short-Term Load Forecast for Energy Management Systems Using Time Series Analysis and Neural Network Method with Average True Range. 2019 1st International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics, ICA-SYMP 2019, 2(2), 86–89. https://doi.org/10.1109/ICA-SYMP.2019.8646068Test; PJM. (2020). Seven-Day Load Forecast. Retrieved from https://dataminer2.pjm.com/feed/load_frcstd_7_day/definitionTest; Rueda, V. M., Velásquez Henao, J. D., & Franco Cardona, C. J. (2011). Avances recientes en la predicción de la demanda de electricidad usando modelos no lineales. DYNA (Colombia), 78(167), 36–43.; Saber, A. Y., & Alam, A. K. M. R. (2018). Short term load forecasting using multiple linear regression for big data. 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings, 2018-January, 1–6. https://doi.org/10.1109/SSCI.2017.8285261Test; van der Meer, D. W., Widén, J., & Munkhammar, J. (2018). Review on probabilistic forecasting of photovoltaic power production and electricity consumption. Renewable and Sustainable Energy Reviews, 81(December 2016), 1484–1512. https://doi.org/10.1016/j.rser.2017.05.212Test; XM S.A E.S.P. (2017). Despacho Económico en Colombia. Retrieved from https://www.youtube.com/watch?v=uK-hnlU2ReATest; XM S.A E.S.P. (2020). Glosario XM. Retrieved from https://www.xm.com.co/corporativo/Paginas/Herramientas/glosario.aspxTest; https://repositorio.unal.edu.co/handle/unal/78002Test

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    دورية أكاديمية

    المؤلفون: Frabetti, Giancarlo

    المصدر: Geografares; n. 31 (2020): Geografares (Julho - Dezembro); 293-308 ; Geografares; No. 31 (2020): Geografares (Julho - Dezembro); 293-308 ; Geografares; Núm. 31 (2020): Geografares (Julho - Dezembro); 293-308 ; 2175-3709 ; 1518-2002 ; 10.7147/geo.v1i31

    جغرافية الموضوع: Brasil, século XXI, siglo XXI, Brazil

    الوقت: Brazil, XXI century

    وصف الملف: application/pdf

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