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Left: reference image Center left: borders and numbers are removed Center right: edge recognition. Right: final fitted surface, p.109 ,
, Auto-correlation lengthscale computation In black are the points obtained from all the pairs from our original data, that is absolute wind speed differences as a function of the distance between the two points
In red is the exponential fit In black are the derivatives of the fit at 0 and ?. In green is the recovered auto-correlation lengthscale. The unit for the lengthscale is in km, p.112 ,
Typical response curves of different wind turbines, p.114 ,
, The origin of the hours is the first of, and the production is in MWh In blue: the observed wind production In dark red: the day-ahead predictions from the grid operator, All curves are hourly production data light red: the day-ahead predictions from weather data. . . . . . . . . . . . 114, 2011.
, , p.115, 2012.
Hourly solar production in MWh The time origin is the first of In blue: observed production by RTE In dark red: reconstructed production from observed weather data, p.116, 2011. ,
, A.1 Comparison of bandwidths: Large bandwidth in first stage, p.125
, A.2 Comparison of bandwidths: Small bandwidth in first stage, p.126
A.3 Histogram of volume variation between points, p.127 ,
Illustrating the effect of increased uncertainty, p.138 ,
, Traded volume plotted against total annual consumption, p.141
Example aggregate demand and supply bid functions, p.145 ,
Aggregate bid functions for 20 consecutive days, p.145 ,
, , p.149
, , p.161
161 List of Figures 3.B.1 Plotted average realised Volume (left) and Price (right) per Hour with 95% confidence intervals, p.185 ,
Distribution of observed market equilibria, p.186 ,
Distribution of minimum and maximum production volumes (and corresponding range) bid in an hourly auction, p.186 ,
Distribution of number of bid function steps, p.186 ,
, Histogram of predicted wind (left) and predicted solar (right) generation 187
, , p.37
, , p.40
, Heuristic Description of the Model 43
, Stochastic Dynamics, vol.47
, , p.47
, , p.49
, , p.52
, , p.52
, The Monopoly 53
, , p.54
, The Symmetric Oligopoly 57
, , p.62
, Dynamic Behavior of the Bids 63
, , p.65
, , p.68
, , p.71
, Table of Contents -Long
A.2 Outlier detection and removal, p.126 ,
, Investigating the Impact of Uncertainty on Firms with Dynamic Costs: A Case Study of the French Electricity Market 129, Chapter
, 1 Introduction 131
, , p.134
, , p.137
, The EPEX Spot Market 140
, , p.140
, , p.142
, Our Data Explained 144
, Methodology, vol.147
, , p.150
, , p.165
, , p.171
, , p.176
, , p.178
, , p.180
, Appendix, vol.183
, Appendix 3.A Summary Statistics of Selected Points 183
, Appendix 3.B Computational Details and Descriptives 184
1 Hard choices in the PLU computation, p.184 ,
, , p.185
, General conclusion References 203