R. Aïd, P. Gruet, and H. Pham, An optimal trading problem in intraday electricity markets, Mathematics and Financial Economics, 2015.

Y. Aït-sahalia, Nonparametric Pricing of Interest Rate Derivative Securities, Econometrica, vol.64, issue.3, pp.527-560, 1996.
DOI : 10.2307/2171860

Y. Aït-sahalia, A. Per, L. Mykland, and . Zhang, How Often to Sample a Continuous-Time Process in the Presence of Market Microstructure Noise, Review of Financial Studies, vol.18, issue.2, pp.351-416, 2005.
DOI : 10.1093/rfs/hhi016

Y. Aït-sahalia, A. Per, L. Mykland, and . Zhang, Ultra high frequency volatility estimation with dependent microstructure noise, Journal of Econometrics, vol.160, issue.1, pp.160-175, 2011.
DOI : 10.1016/j.jeconom.2010.03.028

A. Alfonsi, A. Fruth, and A. Schied, Constrained portfolio liquidation in a limit order book model, Advances in Mathematics of Finance, pp.9-25, 2008.
DOI : 10.4064/bc83-0-1

A. Alfonsi, A. Fruth, and A. Schied, Optimal execution strategies in limit order books with general shape functions, Quantitative Finance, vol.10, issue.2, pp.143-157, 2010.
DOI : 10.1080/14697680500244411

URL : https://hal.archives-ouvertes.fr/hal-00166969

A. Alfonsi and A. Schied, Optimal Trade Execution and Absence of Price Manipulations in Limit Order Book Models, SIAM Journal on Financial Mathematics, vol.1, issue.1, pp.490-522, 2010.
DOI : 10.1137/090762786

URL : https://hal.archives-ouvertes.fr/hal-00397652

A. Alfonsi, A. Schied, and A. Slynko, Order Book Resilience, Price Manipulation, and the Positive Portfolio Problem, SIAM Journal on Financial Mathematics, vol.3, issue.1, pp.511-533, 2012.
DOI : 10.1137/110822098

R. Almgren, Optimal execution with nonlinear impact functions and trading-enhanced risk, Applied Mathematical Finance, vol.3, issue.1, pp.1-18, 2003.
DOI : 10.3905/jpm.1992.409428

R. Almgren, Optimal Trading with Stochastic Liquidity and Volatility, SIAM Journal on Financial Mathematics, vol.3, issue.1, pp.163-181, 2012.
DOI : 10.1137/090763470

R. Almgren and N. Chriss, Optimal execution of portfolio transactions, The Journal of Risk, vol.3, issue.2, pp.5-39, 2000.
DOI : 10.21314/JOR.2001.041

R. Altmeyer and M. Bibinger, Functional stable limit theorems for quasiefficient spectral covolatility estimators, Stochastic Processes and their Applications, 2015.

M. Federico, J. R. Bandi, and . Russell, Separating microstructure noise from volatility, Journal of Financial Economics, vol.79, issue.3, pp.655-692, 2006.

A. Bensoussan, P. Bertrand, and A. Brouste, A generalized linear model approach to seasonal aspects of wind speed modeling, Journal of Applied Statistics, vol.20, issue.2013, pp.1694-1707, 2014.
DOI : 10.1093/biomet/63.1.27

F. Espen-benth-et-steen-koekebakker, Stochastic modeling of financial electricity contracts, Energy Economics, vol.30, pp.1116-1157, 2008.

D. Bertsimas and A. W. Lo, Optimal control of execution costs, Journal of Financial Markets, vol.1, issue.1, pp.1-50, 1998.
DOI : 10.1016/S1386-4181(97)00012-8

R. Bhar and C. Chiarella, Interest rate futures: estimation of volatility parameters in an arbitrage-free framework, Applied Mathematical Finance, vol.12, issue.4, pp.181-199, 1997.
DOI : 10.1111/j.1467-9965.1995.tb00101.x

R. Bhar, C. Chiarella, and T. Tô, A maximum likelihood approach to estimation of Heath-Jarrow-Morton models. Rapport technique 80, 2002.

M. Bibinger, N. Hautsch, P. Malec, and M. Reiß, Estimating the quadratic covariation matrix from noisy observations: Local method of moments and efficiency, The Annals of Statistics, vol.42, issue.4, pp.80-114, 2014.
DOI : 10.1214/14-AOS1224SUPP

M. Bibinger and M. Reiß, Spectral Estimation of Covolatility from Noisy Observations Using Local Weights, Scandinavian Journal of Statistics, vol.100, issue.1, pp.23-50, 2014.
DOI : 10.1111/sjos.12019

P. Bjerksund, H. Rasmussen, and G. Stensland, Valuation and Risk Management in the Norwegian Electricity Market, Endre Bjørndal, Mette Bjørndal , Panos M. Pardalos et Mikael Rönnqvist, éditeurs : Energy, Natural Ressources and Environmental Economics, pp.167-185, 2010.
DOI : 10.1007/978-3-642-12067-1_11

N. Chen, S. Kou, and C. Wang, A partitioning algorithm for markov decision processes and its application to limit order books with stochastic market depth. Working paper, 2013.

E. Clément, S. Delattre, and A. Gloter, An infinite dimensional convolution theorem with applications to the efficient estimation of the integrated volatility, Stochastic Processes and their Applications, pp.2500-2521, 2013.
DOI : 10.1016/j.spa.2013.04.004

R. Cont, A. Kukanov, and S. Stoikov, The Price Impact of Order Book Events, Journal of Financial Econometrics, vol.12, issue.1, pp.47-88, 2013.
DOI : 10.1093/jjfinec/nbt003

URL : https://hal.archives-ouvertes.fr/hal-00545745

J. C. Cox, J. E. Ingersoll-jr, and A. Et-stephen, A Theory of the Term Structure of Interest Rates, Econometrica, vol.53, issue.2, pp.385-407, 1985.
DOI : 10.2307/1911242

S. Delattre and J. Jacod, A Central Limit Theorem for Normalized Functions of the Increments of a Diffusion Process, in the Presence of Round-Off Errors, Bernoulli, vol.3, issue.1, pp.1-28, 1997.
DOI : 10.2307/3318650

A. Dvoretzky, Asymptotic normality for sums of dependent random variables, éditeurs : Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability, pp.513-535, 1972.

A. Peter, J. Forsyth, . Shannon, S. T. Kennedy, H. Tse et al., Optimal trade execution : a mean quadratic variation approach, Journal of Economic Dynamics & Control, vol.36, issue.12, pp.1971-1991, 2012.

E. Garnier and R. Madlener, Balancing forecast errors in continuoustrade intraday markets. FCN Working Papers 2, E.ON Energy Research Center Future Energy Consumer Needs and Behavior, p.2014, 2014.

J. Gatheral, No-dynamic-arbitrage and market impact, Quantitative Finance, vol.8, issue.7, pp.749-759, 2010.
DOI : 10.1080/14697680500244411

J. Gatheral, A. Schied, and A. Slynko, Exponential resilience and decay of market impact In Econophysics of order-driven markets, pp.225-236, 2011.

V. Genon-catalot and J. Jacod, On the estimation of the diffusion coefficient for multi-dimensional diffusion processes, Annales de l'I.H.P, vol.29, issue.1, pp.119-151, 1993.

V. Genon-catalot, C. Laredo, and D. Picard, Nonparametric estimation of the diffusion coefficient by wavelets methods, Scandinavian Journal of Statistics, vol.19, issue.4, pp.317-335, 1992.

G. Giebel, G. Kariniotakis, R. Brownsword, C. Draxl, and M. Denhard, The state-of-the-art in short-term prediction of wind power : A literature overview, 2011.

A. Gloter and J. Jacod, Diffusions with measurement errors. I. Local Asymptotic Normality, ESAIM: Probability and Statistics, vol.5, pp.225-242, 2001.
DOI : 10.1051/ps:2001110

A. Gloter and J. Jacod, Diffusions with measurement errors. II. Optimal estimators, ESAIM: Probability and Statistics, vol.5, pp.243-260, 2001.
DOI : 10.1051/ps:2001111

O. Guéant, C. Lehalle, and J. Fernandez-tapia, Optimal Portfolio Liquidation with Limit Orders, SIAM Journal on Financial Mathematics, vol.3, issue.1, pp.740-764, 2012.
DOI : 10.1137/110850475

W. Härdle, G. Kerkyacharian, D. Picard-et-alexandre, and B. , Tsybakov : Wavelets, approximation, and statistical applications, Lecture Notes in Statistics, vol.129, 1998.

D. Heath, R. Jarrow, and A. Morton, BOND PRICING AND THE TERM STRUCTURE OF INTEREST RATES: A NEW METHODOLOGY FOR CONTINGENT CLAIMS VALUATION, Econometrica, vol.60, issue.1, pp.77-105, 1992.
DOI : 10.1142/9789812819222_0013

A. Henriot, Market Design with Centralized Wind Power Management: Handling Low-predictability in Intraday Markets, The Energy Journal, vol.35, issue.1, pp.99-117, 2014.
DOI : 10.5547/01956574.35.1.6

J. Hinz, M. Lutz-von-grafenstein, M. Verschuere, and . Wilhelm, Pricing electricity risk by interest rate methods, Quantitative Finance, vol.28, issue.1, pp.49-60, 2005.
DOI : 10.1023/A:1013846631785

M. Hoffmann, Minimax estimation of the diffusion coefficient through irregular samplings, Statistics & Probability Letters, vol.32, issue.1, pp.11-24, 1997.
DOI : 10.1016/S0167-7152(96)00052-1

M. Hoffmann, Adaptive estimation in diffusion processes, Stochastic Processes and their Applications, pp.135-163, 1999.
DOI : 10.1016/S0304-4149(98)00074-X

M. Hoffmann, A. Munk, and J. Schmidt-hieber, Adaptive wavelet estimation of the diffusion coefficient under additive error measurements, Annales de l'Institut Henri Poincaré Probabilités et Statistiques, pp.1186-1216, 2012.
DOI : 10.1214/11-AIHP472

URL : https://hal.archives-ouvertes.fr/hal-00779763

G. Huberman and W. Stanzl, Price Manipulation and Quasi-Arbitrage, Econometrica, vol.72, issue.4, pp.1247-1275, 2004.
DOI : 10.1111/j.1468-0262.2004.00531.x

J. Jacod, On continuous conditional Gaussian martingales and stable convergence in law, Séminaire de Probabilités, XXXI, volume 1655 de Lecture Notes in Math, pp.232-246, 1997.
DOI : 10.1007/978-3-662-02514-7

J. Jacod, Statistics and high-frequency data éditeurs : Statistical Methods for Stochastic Differential Equations, pp.191-310, 2012.

J. Jacod, Y. Li, P. A. Mykland, M. Podolskij, and M. Vetter, Microstructure noise in the continuous case: The pre-averaging approach, Stochastic Processes and their Applications, pp.2249-2276, 2009.
DOI : 10.1016/j.spa.2008.11.004

J. Jacod and A. Per, Mykland : Microstructure noise in the continuous case : approximate efficiency of the adaptive pre-averaging method, Stochastic Processes and their Applications, pp.2910-2936, 2015.

J. Jacod and P. Protter, Discretization of processes, volume 67 de Stochastic Modelling and Applied Probability

J. Jacod and M. Rosenbaum, Quarticity and other functionals of volatility : efficient estimation. The Annals of Statistics, pp.1462-1484, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00863579

J. Jacod and N. Albert, Shiryaev : Limit theorems for stochastic processes, de Grundlehren der Mathematischen Wissenschaften [Fundamental Principles of Mathematical Sciences, 2003.

A. Jeffrey, O. Linton, T. Nguyen, C. B. Peter, and . Phillips, Nonparametric estimation of a multifactor Heath-Jarrow-Morton model : An integrated approach. Rapport technique, Cowles Foundation for Research in Economics, 2001.

J. Keppo and N. Audet, Pirja Heiskanen et Iivo Vehviläinen : Modeling electricity forward curve dynamics in the nordic market, éditeur : Modelling Prices in Competitive Electricity Markets, pp.251-264, 2004.

R. Kiesel, G. Schindlmayr, and H. Reik, A two-factor model for the electricity forward market, Quantitative Finance, vol.12, issue.3, pp.279-287, 2009.
DOI : 10.1016/j.enpol.2003.10.013

S. Koekebakker and F. Ollmar, Forward curve dynamics in the nordic electricity market. Managerial Finance, pp.73-94, 2005.

A. Munk and J. Schmidt-hieber, Lower bounds for volatility estimation in microstructure noise models, Borrowing strength : theory powering applications?a Festschrift for Lawrence D. Brown, volume 6 de Inst, pp.43-55

A. Munk and J. Schmidt-hieber, Nonparametric estimation of the volatility function in a high-frequency model corrupted by noise, Electronic Journal of Statistics, vol.4, issue.0, pp.781-821, 2010.
DOI : 10.1214/10-EJS568

M. Musiela and M. Rutkowski, Martingale methods in financial modelling, volume 36 de Stochastic Modelling and Applied Probability, 2005.

P. Mykland and L. Zhang, The econometrics of high-frequency, éditeurs : Statistical Methods for Stochastic Differential Equations, pp.109-190, 2012.

A. Anna, J. Obizhaeva, and . Wang, Optimal trading strategy and supply/demand dynamics, Journal of Financial Markets, vol.16, issue.1, pp.1-32, 2013.

B. Øksendal and A. Sulem-bialobroda, Applied stochastic control of jump diffusions, 2007.
DOI : 10.1007/978-3-540-69826-5

M. Podolskij and M. Vetter, Estimation of volatility functionals in the simultaneous presence of microstructure noise and jumps, Bernoulli, vol.15, issue.3, pp.634-658, 2009.
DOI : 10.3150/08-BEJ167

M. Reiß, Asymptotic equivalence for inference on the volatility from noisy observations . The Annals of Statistics, pp.772-802, 2011.

A. Rényi, On stable sequences of events. Sankhy? (Statistics), Series A, pp.293-302, 1963.

M. Rosenbaum, Integrated volatility and round-off error, Bernoulli, vol.15, issue.3, pp.687-720, 2009.
DOI : 10.3150/08-BEJ170

A. Schied and T. Schöneborn, Risk aversion and the dynamics of optimal liquidation strategies in??illiquid markets, Finance and Stochastics, vol.5, issue.2, pp.181-204, 2009.
DOI : 10.1007/s00780-008-0082-8

A. Schied and A. Slynko, Some mathematical aspects of market impact modeling In Surveys in stochastic processes, EMS Ser, Congr. Rep. Eur. Math. Soc, pp.153-179, 2011.

R. Stanton, A Nonparametric Model of Term Structure Dynamics and the Market Price of Interest Rate Risk, The Journal of Finance, vol.5, issue.5, pp.1973-2002, 1997.
DOI : 10.1111/j.1540-6261.1997.tb02748.x

A. Van and . Vaart, Asymptotic Statistics, 1998.

A. Weiss, Executing large orders in a microscopic market model. ArXiv e-prints, 2009.

D. Williams, Probability with martingales. Cambridge mathematical textbooks, 1991.
DOI : 10.1017/cbo9780511813658

L. Zhang, Efficient estimation of stochastic volatility using noisy observations: a multi-scale approach, Bernoulli, vol.12, issue.6, pp.1019-1043, 2006.
DOI : 10.3150/bj/1165269149

L. Zhang and A. Per, A Tale of Two Time Scales, Journal of the American Statistical Association, vol.100, issue.472, pp.1394-1411, 2005.
DOI : 10.1198/016214505000000169