Local short-term uncertainties and their impact on the economics of
distributed flexibilities.

[1]      J. Lopes, N. Hatziargyriou, and J. Mutale, “Integrating distributed generation into electric power systems: A review of drivers, challenges and opportunities,” Electr. Power Syst. …, vol. 77, no. 2007, pp. 1189–1203, 2007.

 

[2]      O. Huet, S. Grenard, O. Devaux, and O. Carre, “Power Steering,” IEEE Power Energy Mag., vol. 9, no. 5, pp. 42–51, Sep. 2011.

 

[3]      Q. Gemine and E. Karangelos, “Active network management: planning under uncertainty for exploiting load modulation,” Bulk Power Syst. …, pp. 1–9, 2013.

[4]      A. Keane and Q. Zhou, “Planning and operating non-firm distributed generation,” … Power Gener. IET, 2009.

 

[5]      F. Sousa and A. Leitao, “A new paradigm in centralized operation of Portuguese high voltage electric network,” … Renewables into Distrib. Grid, …, no. May, pp. 29–31, 2012.

 

[6]      R. Billinton and D. Huang, “Aleatory and epistemic uncertainty considerations in power system reliability evaluation,” … Methods Appl. to Power Syst. …, 2008.

 

[7]      Y. Chakhchoukh, “Electric load forecasting based on statistical robust methods,” Power Syst. IEEE …, vol. 26, no. 3, pp. 982–991, 2011.

 

[8]      P. Mello, N. Lu, and Y. Makarov, “An optimized autoregressive forecast error generator for wind and load uncertainty study,” Wind Energy, no. February, pp. 967–976, 2011.

 

[9]      N. Lu, R. Diao, and R. Hafen, “A comparison of forecast error generators for modeling wind and load uncertainty,” Power Energy …, pp. 0–4, 2013.

 

[10]    P. Pinson and G. Papaefthymiou, “Generation of statistical scenarios of short-term wind power production,” Power Tech, 2007 …, no. 2, pp. 491–496, 2007.

 

[11]    T. Yalcinoz and U. Eminoglu, “Short term and medium term power distribution load forecasting by neural networks,” Energy Convers. Manag., vol. 46, no. 9–10, pp. 1393–1405, Jun. 2005.

 

[12]    K. Padmakumari, “Long term distribution demand forecasting using neuro fuzzy computations,” Int. J. …, vol. 21, pp. 315–322, 1999.

 

[13]    S. Villalba and C. Bel, “Hybrid demand model for load estimation and short term load forecasting in distribution electric systems,” Power Deliv. IEEE Trans., vol. 15, no. 2, pp. 764–769, 2000.

 

[14]    M. Lange, “On the Uncertainty of Wind Power Predictions—Analysis of the Forecast Accuracy and Statistical Distribution of Errors,” J. Sol. Energy Eng., vol. 127, no. 2, p. 177, 2005.

 

[15]    S. Dutta, R. Sharma, and S. Member, “Optimal storage sizing for integrating wind and load forecast uncertainties,” … Grid Technol. (ISGT), 2012 IEEE PES, pp. 1–7, 2012.

 

[16]    H. Holttinen, B. Lemström, P. Meibom, and H. Bindner, “Design and operation of power systems with large amounts of wind power,” 2007.

 

[17]    C. Monteiro, R. Bessa, V. Miranda, and A. Botterud, “Wind power forecasting: state-of-the-art 2009.,” 2009.

 

[18]    “EPEX Market Data.” [Online]. Available: www.epexspot.com/fr/.

 

[19]    RTE, “Bilan électrique 2013,” 2013.

 

[20]    C. Weber, “Adequate intraday market design to enable the integration of wind energy into the European power systems,” Energy Policy, vol. 38, no. 7, pp. 3155–3163, 2010.

 

[21]    J. P. Chaves-Ávila, R. a. Hakvoort, and A. Ramos, “Short-term strategies for Dutch wind power producers to reduce imbalance costs,” Energy Policy, vol. 52, pp. 573–582, Jan. 2013.

 

[22]    A. Fabbri and T. Roman, “Assessment of the cost associated with wind generation prediction errors in a liberalized electricity market,” Power Syst. IEEE …, vol. 20, no. 3, pp. 1440–1446, 2005.

 

[23]    K. Skytte, “The regulating power market on the Nordic power exchange Nord Pool: an econometric analysis,” Energy Econ., vol. 21, no. 4, pp. 295–308, Aug. 1999.