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International Conference on Computational Management Science PDF

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FACULTY OF ECONOMICS AND MANAGEMENT 2018 International Conference on Computational Management Science Local Chairs Stein-Erik Fleten Florentina Paraschiv XV CONFERENCE ON COMPUTATIONAL MANAGEMENT SCIENCE (CMS 2018) A warm welcome to CMS 2018! We are delighted that you are joining us at the Norwegian University of Science and Technology (NTNU) for the 15th Conference on Computational Management Science (CMS 2018). The CMS conference is an annual meeting associated with the journal Computational Management Science published by Springer. The conference focuses on computational management science with emphasis on valuation problems, risk management and measurement applications, including optimal risk control problems, typically employing stochastic optimization, robust and distributionally robust optimization methods as in the tradition of CMS conferences. Increasingly over the years the conference attracted scholars from different scientific communities and Euro working groups, ranging from the optimization to the statistical, econometrical and applied maths communities and touching several application domains, including energy, finance, supply chain management and logistic problems. This edition of the conference is co-organised by the Norwegian University of Science and Technology (NTNU), Faculty of Economics and Management, CMS Journal and the EURO Working Groups on Stochastic Optimization and Commodity and Financial Modelling. We have a full conference programme over the next three days, so please take a few minutes to read through the important information provided in this book. We hope you enjoy your stay in Trondheim and have a fruitful time at CMS! Stein-Erik Fleten, Florentina Paraschiv, and Daniel Kuhn On behalf of the CMS 2018 Committee XV CONFERENCE ON COMPUTATIONAL MANAGEMENT SCIENCE (CMS 2018) Trondheim Trondheim is the third largest city in Norway with its 187 000 inhabitants. Other major cities in Norways are Bergen and the capital Oslo. Trondheim is said to be founded in 997 by Olav Tryggvason, a retired Viking and later crowned king of Norway. A statue of Olav Tryggvason is found in the city center. The construction of Nidaros Cathedral started around 1070 and it is the northernmost medieval cathedral in the world. Photo Pavel Szubert The cathedral was built over the burial site of Saint Olav. Saint Olav was canonized in 1164 by Pope Alexander III and thereafter universally recognized as a saint of the Roman Catholic Church. The sculptures on the west side of the church are famous biblical figures, catholic saints and some former Norwegian kings. During maintenance on the sculpture of Archangel Michael, the artist gave him the face of Bob Dylan. Photo Finn Bjørklid XV CONFERENCE ON COMPUTATIONAL MANAGEMENT SCIENCE (CMS 2018) Photo Michael Schuerle The river Nidelva runs through the city center. Along Nidelva old tree houses, dating back to the 19th century, is a popular view for tourists. The camera is aimed at Bakklandet, an idyllic district known for its many old tree houses. NTNU also has a central role in Trondheim. In 1996 the university was established, but with roots back to 1910, when the Norwegian Institute of Technology was established. Today the university has about 40 000 students where 34 000 of the students are located in Trondheim. The remaining are located at the campuses in Gjøvik and Aalesund. On behalf of the conference crew, we hope you will enjoy the CMS conference and your stay in Trondheim. International Conference on Computational Management Science 29 - 31 May 2018, Trondheim Venue Information Local transport train station – hotel: If you are arriving or departing by train, the hotels are within walking distance through the city from the train station (Sentralstasjonen), alternatively you can catch a bus from the train station or a taxi. Local transport airport – hotel: If you are arriving or departing by plane, Trondheim airport Værnes is located 30 km outside the city. The airport bus (Flybuss or Værnesekspressen) runs every 10 minutes, cost 130 NOK (approx. 45 min) and will stop near almost all hotels in Trondheim. A taxi will cost about 650-770 NOK (approx. 30 min). Local transport hotel – campus: From downtown, the main bus to Gløshaugen campus is AtB bus 5 (direction Lohove, bus stop: Gløshaugen Nord). Tickets can be bought at kiosks, at ticket machines in Trondheim center, or at AtB service centers, via the Mobilett app, or via SMS. Buying a ticket on the bus requires cash (50 NOK). Flights through Trondheim Airport The Oslo-Trondheim connection is Europe’s 5th busiest, with 32 daily connections. SAS and Norwegian compete, and they both offer reasonable one-way tickets. Direct flights to London, Amsterdam, Copenhagen, Stockholm, Bergen etc. Useful links NTNU: www.ntnu.edu Gløshaugen campus map: www.ntnu.edu/map Trondheim city information: www.trondheim.no/engelsk Bus in Trondheim: www.atb.no/?lang=en_GB Taxi in Trondheim: +47 930 07373 Airport bus: www.flybussen.no/en/Trondheim Train in Norway: www.nsb.no/en NTNU Wireless network for visitors Visitors can use either of the university's wireless networks, Eduroam or ntnuguest. The network ntnuguest allows web traffic, but nothing else. Eduroam assumes that your organization is in some way associated with the eduroam system, and that you have set up your computer according to the instructions from your local IT support. How to connect to NTNU guest (ntnuguest)?: 1. Click on the wireless network options on on your machine or device. 2. Select ntnuguest in the window that appear and click Connect 3. Open your web browser. 4. Fill in your email adress and click on submit. XV CONFERENCE ON COMPUTATIONAL MANAGEMENT SCIENCE (CMS 2018) CMS 2018 Committee Organizing and Program Committee: Stein-Erik Fleten Norwegian University of Science and Technology (NTNU) Florentina Paraschiv Norwegian University of Science and Technology (NTNU) Daniel Kuhn Ecole polytechnique fédérale de Lausanne (EPFL) Scientific Committee: Abel Lisser University of Paris Sud Afzal Siddiqui University College London Alexei A. Gaivoronski Norwegian University of Science and Technology (NTNU) Alois Pichler University of Technology, Chemnitz Asgeir Tomasgard Norwegian University of Science and Technology (NTNU) Berc Rustem Imperial College London David Wozabal Technical University of Muenchen Francesca Maggioni University of Bergamo Frits Møller Andersen Denmark Technical University Georg Pflug University of Vienna Giorgio Consigli University of Bergamo Laureano Escudero King Juan Carlos University Michael Kaut SINTEF Michel DE LARA École des Ponts ParisTech and Université Paris-Est Milos Kopa Charles University of Prague Paolo Falbo University of Brescia Pierre Pinson Technical University of Denmark Rafał Weron Wroclaw University of Technology Ruediger Schultz University Duisburg-Essen Ruud Egging Norwegian University of Science and Technology (NTNU) Sjur Westgaard Norwegian University of Science and Technology (NTNU) Trine Krogh Boomsma University of Copenhagen Verena Hagspiel Norwegian University of Science and Technology (NTNU) Wolfram Wiesemann Imperial College London Local Support Committee: Pedro Crespo Del Granado Norwegian University of Science and Technology (NTNU) Andreas Kleiven Norwegian University of Science and Technology (NTNU) Magnus Lyslo Haugskott Norwegian University of Science and Technology (NTNU) Sveinung Tyssedal Norwegian University of Science and Technology (NTNU) CMS Program Tuesday May 29 0- Registration 0 8: 0 0 0 9: Opening and welcome 0 0- 3 Room R5 8: 0 Computational Stochastic Empirical modelling of energy Optimization under Techno-Economic impact of Optimization markets uncertainty in logistics and CO2 reduction policies transportation Chair: Alexei A. Gaivoronski Chair: Sjur Westgaard Chair: Francesca Maggioni Chair: Paolo Pisciella Room: R3 Room: R4 Room: R5 Room: R90 Scenario Analysis for Energy Business models for power-to- Dealing with Demand Optimization models for the Saving and Management gas: A real options approach Uncertainty in Service Network participation of active power Optimization in Complex Water and Load Plan Design distribution networks Supply Systems to the ancillary services 0 Jacopo Napolitano Michael Schuerle Natashia Boland Maria Teresa Vespucci 0:3 Engineer-to-order project Can Commodities Dominate A Priori Routing for Time Slot Green Investment under Policy 0-1 planning with uncertainty in Stock and Bond Portfolios? Management in Online Grocery Uncertainty and 9:0 design and task duration Retailing Bayesian Learning 0 Michal Kaut Stein Frydenberg Martin Savelsbergh Verena Hagspiel Scenario tree construction Estimation of risk neutral Integer Stochastic Path Micro-grid expansion a driven by heuristic solutions of moments from WTI crude oil Detection cooperative game theory the optimization problem. options. approach Vit Prochazka Valeriy Kunst Stephan Meisel Sambeet Mishra Inexact cutting plane Forecasting Price Distributions Optimizing workflow in cell- A Bilevel Programming techniques for stochastic in the German Electricity based slaughtering and cutting Approach to Estimating mixed-integer programs Market of pigs Elasticities of Substitution for Computable General Equilibrium Models Ward Romeijnders Sjur Westgaard Johan Oppen Paolo Pisciella 15 min break Plenary speaker: Andy Philpott 5 Professor at University of Auckland 4 1: 1 5- Competitive Equilibrium with Risk Averse Agents 4 10: Room: R5 75 min Lunch break Decision modelling in power Bounds and approximation Computational Methods for Computational Finance markets methods in stochastic Markov Decision Processes programming Chair: Paolo Falbo Chair: Francesca Maggioni Chair: David Wozabal Chair: Michael Schuerle Room: R3 Room: R4 Room: R5 Room: R90 Assessment of battery energy Sampling Scenario Set Partition A Stability Result for Linear Electricity Spot and Derivatives 0 storage systems profitability in Dual Bounds for Multistage Markov Decision Processes Pricing under Market Coupling 4:3 the Italian electricity wholesale Stochastic Programs 0-1 market 3:0 Federica Davo' Ilke Bakir Adriana Kiszka Roland Fuess 1 Interplay of Wind Energy Using tropical optimization Extracting ’Greeks’ from The distortion premium Expansion and Regional Market techniques in multi-criteria Multistage Linear principle: properties, Premia – A Fundamental decision problems Stochastic Optimization: identification and robustness Market Model Analysis with Computing parameter under ambiguity Application to Germany sensitivities in Stochastic Dual Dynamic Programming Hannes Hobbie Nikolai Krivulin Goncalo Terca Daniela Escobar Scheduling energy and Incorporating statistical model Exact converging bounds for Computing Credit Valuation reserves under contingencies error into the calculation of Stochastic Dual Dynamic Adjustment using hybrid in isolated power systems with acceptability prices of Programming approaches in the Bates model. high presence of electric contingent claims vehicles Ruth Dominguez Martin Martin Glanzer Vincent Leclère Ludovic Goudenège Spot market, Futures and Risk Bounds for Probabilistic Stochastic-dynamic Call auctions, money, and management in the Generation Constrained Problems Optimization of a Joint Strategy equilibrium of Electricity for Day-ahead Bidding and Intraday Trading Paolo Falbo Francesca Maggioni David Wozabal Sjur Didrik Flåm 15 min break Semi-plenary speaker: Selvaprabu Nadarajah Semi-plenary speaker: Jens Arne Steinsbø Assistant Professor at University of Illinois at Chicago Head of Digitalization and Strategic Analysis at Lyse AS 0 5:3 Approximate convex programs for solving Business value from hydropower innovations 1 5- intractable operations 4 4: 1 management problems Room: R3 Room: R5 15 min break Best Student Paper Prize Model Uncertainty in Finance Power System Planning and Presentations and Economics Operation under Uncertainty Jury: Miloš Kopa (Chair of the EWGSO), Francesca Maggioni (UniBG), Daniel Kuhn (EPFL), Afzal Siddiqui (UCL) Chair: Daniel Kuhn Chair: Arild Helseth Room: R3 Room: R4 Room: R5 Stochastic optimization with Long-term asset allocation Forecast-based scenario-tree importance sampling: using an under time-varying investment generation for prices in the analytical approximation of the opportunities: Optimal Nordic power markets zero-variance distribution portfolios with parameter and model uncertainty Jonas Ekblom Alex Weissensteiner Ellen Krohn Aasgård 15 Long-term seasonal Robust Multidimensional Offshore Grid connection 17: component in day-ahead Pricing: Separation without optimisation with uncertain 5- electricity price forecasting Regrets parameters 4 5: with NARX neural networks. 1 Part II - Probabilistic forecasting Grzegorz Marcjasz Cagil Kocyigit Harald G Svendsen A strategic investment model Robust optimization by Nonconvex Medium-Term for multinational transmission constructing near-optimal Hydropower Scheduling by expansion planning: Comparing portfolios Stochastic Dual Dynamic competitive and cooperative Integer Programming solutions for a North Sea Offshore Grid Simon Risanger Martin Van Der Schans Martin Hjelmeland Efficient forecasting of Chebyshev Inequalities for Optimal Hydropower electricity spot prices with Products of Random Variables Maintenance Scheduling Under expert and Lasso models Uncertainty B art osz Un iej ew ski Napat Rujeerapaiboon Arild Helseth 0 8:3 EWGSO meeting 1 Chair: Milos Kopa 0- 3 Room: R5 7: 1 0 9:3 1 Jazz concert in the NTNU Business School 0- 0 9: 1 Wednesday May 30 Semi-plenary speaker: Nils Löhndorf Semi-plenary speaker: Ruth Misener Assistant Professor at University of Luxembourg Assistant Professor at Imperial College London 5 9:1 An experimental comparison of tree-based Online generation via offline selection of 0 0- stochastic programming and dual dynamic strong linear cuts from QP SDP relaxation 3 8: 0 programming Room: R3 Room: R5 15 min break Managing uncertainty in Financial Optimization Advances In Stochastic Quantitative Methods for energy systems and markets Optimization in Theory and Financial Applications Applications Chair: Ruud Egging Chair: Giorgio Consigli Chair: Alois Pichler Chair: Khine Kyaw Room: R3 Room: R4 Room: R5 Room: R90 Reservation of transmission Portfolio Choice Under Stochastic optimization with Joint Estimation of Parameters capacity on interconnectors Cumulative Prospect Theory: importance sampling: using an of Mortgage Portfolio and the sensitivity analysis and an analytical approximation of the Factor Process empirical study zero-variance distribution Endre Bjorndal Asmerilda Hitaj Jonas Ekblom Jaroslav Dufek 0 Value of information of snow Portfolio selection impact of Demand Side Management and Quantitative Studies in 0 measurements in hydropower multivariate dominance rules the Participation in Stationary Gas Nets 1: 1 scheduling among financial sectors Consecutive Energy Markets – 0- 3 A Multistage Stochastic 9: 0 Optimization Approach Jo Eidsvik Sergio Ortobelli Lozza Markus Fleschutz Rüdiger Schultz Evaluating Security of Supply in Stochastic optimization with Stochastic capacity expansion Is market surprised by the the European Natural Gas partial stochastic dominance considering renewables and surprised? Market – A Stochastic constraints and its application electric vehicles Programming Approach Zhiping Chen Philipp Hauser Miguel Carrión Khine Kyaw Risk aversion in energy markets Goal-based investing under Multistage multivariate nested SSD constraints distance: an empirical analysis Ruud Egging Giorgio Consigli Sebastiano Vitali 15 min break NORS Plenary: Stein Wallace 5 1 Professor at Norwegian School of Economics 2: 5-1 High-dimensional dependent stochastic speeds in vehicle routing 1 1: 1 Room: R5 75 min Lunch break Efficient Algorithms for Energy forecasting Advances In Stochastic Financial Market Models and Decision-Making under Optimization in Theory and Multi-Criteria Portfolio Uncertainty Applications 2 Optimization Chair: Wolfram Wiesemann Chair: Rafal Weron Chair: Alois Pichler Chair: Sebastian Utz Room: R3 Room: R4 Room: R5 Room: R90 Fast Bellman Updates for Comparing the Forecasting Two-stage Stochastic Socially Responsible Index Robust MDPs Performances of Linear Models Programming under Tracking for Electricity Prices with High Multivariate Risk Constraints 00 RES Penetration 15: Ho Clint Chin Pang Angelica Gianfreda Nilay Noyan Maximilian Wimmer 30- Epsilon-Net Technique for a Efficient forecasting of Generation of scenarios for Risk-Based Inclusion of ESG 3: Class of Robust Optimization electricity spot prices with multiscale stochastic Ratings into Portfolio 1 and its Applications in Wireless expert and Lasso models. optimization problems Optimization Communication Yue Man-Chung Bartosz Uniejewski Georg Pflug Annette Krauss Valuing Portfolios of Conformal Prediction Interval Advances on time consistency Not Necessary to Overfocus on Interdependent Real Options Estimations in Day-Ahead and of risk measures Financial Performance in under Exogenous and Intraday Power Markets Strong Sustainability Investing: Endogenous Uncertainties Evidence from a GABV Bank Case Study Sebastian Maier Florian Ziel Ruben Schlotter Sebastian Utz Distributionally Robust Risk- Forecasting the spread Approximation of Stochastic Averse Optimization over between the spot and the Processes Structured Wasserstein intraday market prices. Ambiguity Sets Viet Anh Nguyen Katarzyna Maciejowska Alois Pichler 15 min break Solution methods for mixed- Energy Forecasting 2 Robust and Distributionally Real options and Energy integer SP Robust Optimization Markets Chair: Trine Krogh Boomsma Chair: Rafał Weron Chair: Wolfram Wiesemann Chair: Verena Hagspiel Room: R3 Room: R4 Room: R5 Room: R90 Bilevel Programming Modeling electricity price Distributionally Robust Inverse Pricing Perpetual Options with Investment Problems with series with vector hidden Covariance Estimation: The Stochastic Stopping Lower-Level Primal and Dual Markov model Wasserstein Shrinkage Opportunities Variables Estimator Henrik Bylling Carlo Lucheroni Daniel Kuhn Kristian Støre Multi–Period Probabilistic Set Long-term seasonal Robust Reformulations of Technology driven capacity Covering Problem component in day-ahead Ambiguous Chance Constraints expansion of aluminum 45 electricity price forecasting with Discrete Probability smelters 6: with NARX neural networks. Distributions 1 5- Part II - Probabilistic 1 5: forecasting 1 Konstantin Pavlikov Grzegorz Marcjasz İhsan Yanıkoğlu Maria Lavrutich Utilizing strengthened lift-and- Bayesian Electricity Price Decision rules for adjustable The effects of possible policy project cuts in decomposition Forecasting. Models with integer robust optimization withdrawal on investment methods to solve two-stage Jumps or Stochastic Volatility problems via branch-and- timing and investment size stochastic programming bound problems with binary first- stage variables Pavlo Glushko Maciej Kostrzewski Krzysztof Postek Roel Nagy A Scalable Solution Framework Modelig a non-linear impact of Data size modulation and risk Photovoltaic Smart Grids in the for Strategic Investment renewable energy forecasts on requirement in scenario prosumers investment Problems via Progressive intra-day electricity prices optimization decisions: a real option model. Hedging Vladimir Dvorkin Sergei Kulakov Simone Garatti Sergio Vergalli 0 3 8: Guided tour and organ concert in Nidaros Cathedral 1 0- 3 7: 1 00 Conference Dinner 9: 1

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employing stochastic optimization, robust and distributionally robust optimization methods as in including energy, finance, supply chain management and logistic problems. During maintenance on the sculpture of Archangel presentation proposes smart grid oriented business models that take.
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