Modeling and Stochastic Learning for Forecasting in High Dimensions - Lecture Notes in Statistics
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Published By Springer International Publishing

9783319187310, 9783319187327

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Massive-Scale Simulation of Electrical Load in Smart Grids Using Generalized Additive Models

Modeling and Stochastic Learning for Forecasting in High Dimensions - Lecture Notes in Statistics ◽

10.1007/978-3-319-18732-7_11 ◽

2015 ◽

pp. 193-212 ◽

Cited By ~ 2

Author(s):

Pascal Pompey ◽

Alexis Bondu ◽

Yannig Goude ◽

Mathieu Sinn

Keyword(s):

Smart Grids ◽

Generalized Additive Models ◽

Additive Models ◽

Electrical Load ◽

Massive Scale

Short Term Load Forecasting in the Industry for Establishing Consumption Baselines: A French Case

Modeling and Stochastic Learning for Forecasting in High Dimensions - Lecture Notes in Statistics ◽

10.1007/978-3-319-18732-7_1 ◽

2015 ◽

pp. 1-20 ◽

Cited By ~ 1

Author(s):

José Blancarte ◽

Mireille Batton-Hubert ◽

Xavier Bay ◽

Marie-Agnès Girard ◽

Anne Grau

Keyword(s):

Load Forecasting ◽

Short Term ◽

Short Term Load Forecasting ◽

French Case

Modelling and Forecasting Daily Electricity Load via Curve Linear Regression

Modeling and Stochastic Learning for Forecasting in High Dimensions - Lecture Notes in Statistics ◽

10.1007/978-3-319-18732-7_3 ◽

2015 ◽

pp. 35-54 ◽

Cited By ~ 3

Author(s):

Haeran Cho ◽

Yannig Goude ◽

Xavier Brossat ◽

Qiwei Yao

Keyword(s):

Linear Regression ◽

Electricity Load ◽

Modelling And Forecasting

Space-Time Trajectories of Wind Power Generation: Parametrized Precision Matrices Under a Gaussian Copula Approach

Modeling and Stochastic Learning for Forecasting in High Dimensions - Lecture Notes in Statistics ◽

10.1007/978-3-319-18732-7_14 ◽

2015 ◽

pp. 267-296 ◽

Cited By ~ 9

Author(s):

Julija Tastu ◽

Pierre Pinson ◽

Henrik Madsen

Keyword(s):

Power Generation ◽

Wind Power ◽

Space Time ◽

Wind Power Generation ◽

Gaussian Copula ◽

Copula Approach

Forecasting Intra Day Load Curves Using Sparse Functional Regression

Modeling and Stochastic Learning for Forecasting in High Dimensions - Lecture Notes in Statistics ◽

10.1007/978-3-319-18732-7_9 ◽

2015 ◽

pp. 161-181 ◽

Cited By ~ 2

Author(s):

Mathilde Mougeot ◽

Dominique Picard ◽

Vincent Lefieux ◽

Laurence Maillard-Teyssier

Keyword(s):

Functional Regression

Confidence Intervals and Tests for High-Dimensional Models: A Compact Review

Modeling and Stochastic Learning for Forecasting in High Dimensions - Lecture Notes in Statistics ◽

10.1007/978-3-319-18732-7_2 ◽

2015 ◽

pp. 21-34

Author(s):

Peter Bühlmann

Keyword(s):

Confidence Intervals ◽

High Dimensional ◽

Dimensional Models

Game-Theoretically Optimal Reconciliation of Contemporaneous Hierarchical Time Series Forecasts

Modeling and Stochastic Learning for Forecasting in High Dimensions - Lecture Notes in Statistics ◽

10.1007/978-3-319-18732-7_15 ◽

2015 ◽

pp. 297-317 ◽

Cited By ~ 6

Author(s):

Tim van Erven ◽

Jairo Cugliari

Keyword(s):

Time Series

Constructing Graphical Models via the Focused Information Criterion

Modeling and Stochastic Learning for Forecasting in High Dimensions - Lecture Notes in Statistics ◽

10.1007/978-3-319-18732-7_4 ◽

2015 ◽

pp. 55-78 ◽

Cited By ~ 1

Author(s):

Gerda Claeskens ◽

Eugen Pircalabelu ◽

Lourens Waldorp

Keyword(s):

Graphical Models ◽

Information Criterion ◽

Focused Information Criterion

Flexible and Dynamic Modeling of Dependencies via Copulas

Modeling and Stochastic Learning for Forecasting in High Dimensions - Lecture Notes in Statistics ◽

10.1007/978-3-319-18732-7_7 ◽

2015 ◽

pp. 117-146

Author(s):

Irène Gijbels ◽

Klaus Herrmann ◽

Dominik Sznajder

Keyword(s):

Dynamic Modeling

Time Series Prediction via Aggregation: An Oracle Bound Including Numerical Cost

Modeling and Stochastic Learning for Forecasting in High Dimensions - Lecture Notes in Statistics ◽

10.1007/978-3-319-18732-7_13 ◽

2015 ◽

pp. 243-265

Author(s):

Andres Sanchez-Perez

Keyword(s):

Time Series ◽

Time Series Prediction

Modeling and Stochastic Learning for Forecasting in High Dimensions - Lecture Notes in StatisticsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Massive-Scale Simulation of Electrical Load in Smart Grids Using Generalized Additive Models

Short Term Load Forecasting in the Industry for Establishing Consumption Baselines: A French Case

Modelling and Forecasting Daily Electricity Load via Curve Linear Regression

Space-Time Trajectories of Wind Power Generation: Parametrized Precision Matrices Under a Gaussian Copula Approach

Forecasting Intra Day Load Curves Using Sparse Functional Regression

Confidence Intervals and Tests for High-Dimensional Models: A Compact Review

Game-Theoretically Optimal Reconciliation of Contemporaneous Hierarchical Time Series Forecasts

Constructing Graphical Models via the Focused Information Criterion

Flexible and Dynamic Modeling of Dependencies via Copulas

Time Series Prediction via Aggregation: An Oracle Bound Including Numerical Cost

Modeling and Stochastic Learning for Forecasting in High Dimensions - Lecture Notes in Statistics
Latest Publications