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Asgeir Tomasgard

Other affiliations: SINTEF
Bio: Asgeir Tomasgard is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Stochastic programming & Flexibility (engineering). The author has an hindex of 28, co-authored 108 publications receiving 2413 citations. Previous affiliations of Asgeir Tomasgard include SINTEF.


Papers
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Journal ArticleDOI
TL;DR: A supply chain design problem modeled as a sequence of splitting and combining processes, where the first-stage decisions are strategic location decisions, whereas the second stage consists of operational decisions.

260 citations

Journal ArticleDOI
TL;DR: A gradient free optimization-simulation method for processes modelled with the simulator Aspen HYSYS that has a high probability of obtaining a better solution with significantly fewer simulation runs than other metaheuristic methods.

194 citations

Journal ArticleDOI
01 Jan 2016-Energy
TL;DR: In this paper, the authors propose short-term decision-support models for aggregators that sell electricity to prosumers and buy back surplus electricity, where the aggregator can control flexible energy units at the prosumers.

141 citations

Book ChapterDOI
01 Jan 2007
TL;DR: The paper starts with decribing how to model natural gas transportation and storage, and at the end it presents a stochastic portfolio optimization model for the natural gas value chain in a liberalized market.
Abstract: In this paper we give an introduction to modelling the natural gas value chain including production, transportation, processing, contracts, and markets. The presentation gives insight in the complexity of planning in the natural gas supply chain and how optimization can help decision makers in a natural gas company coordinate the different activities. We present an integrated view from the perspective of an upstream company. The paper starts with decribing how to model natural gas transportation and storage, and at the end we present a stochastic portfolio optimization model for the natural gas value chain in a liberalized market.

124 citations

Journal ArticleDOI
TL;DR: In this article, a stochastic pooling problem optimization formulation is proposed to address the product quality and uncertainty in natural gas production networks, where the qualities of the flows in the system are described with a pooling model and the uncertainty of the system is handled with a multiscenario, two-stage Stochastic recourse approach in addition, multi-objective problems are handled via a hierarchical optimization approach.
Abstract: Product quality and uncertainty are two important issues in the design and operation of natural gas production networks This paper presents a stochastic pooling problem optimization formulation to address these two issues, where the qualities of the flows in the system are described with a pooling model and the uncertainty in the system is handled with a multiscenario, two-stage stochastic recourse approach In addition, multi-objective problems are handled via a hierarchical optimization approach The advantages of the proposed formulation are demonstrated with case studies involving an example system based on Haverly’s pooling problem and a real industrial system The stochastic pooling problem is a potentially large-scale nonconvex Mixed-Integer Nonlinear Program (MINLP), and a rigorous decomposition method developed recently is used to solve this problem A computational study demonstrates the advantage of the decomposition method over a state-of-the-art branchand-reduce global optimizer, BARON VC 2010 American Institute of Chemical Engineers AIChE J, 00: 000–000, 2010

109 citations


Cited by
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Journal ArticleDOI
TL;DR: This paper reviews theory and methodology that have been developed to cope with the complexity of optimization problems under uncertainty and discusses and contrast the classical recourse-based stochastic programming, robust stochastics programming, probabilistic (chance-constraint) programming, fuzzy programming, and stochastically dynamic programming.

1,145 citations

Journal ArticleDOI
TL;DR: In this paper, a review article aims to explain the complexity of available solutions, their strengths and weaknesses, and the opportunities and threats that the forecasting tools offer or that may be encountered.

1,016 citations

Posted Content
TL;DR: In this article, a review article aims at explaining the complexity of available solutions, their strengths and weaknesses, and the opportunities and treats that the forecasting tools offer or that may be encountered.
Abstract: A variety of methods and ideas have been tried for electricity price forecasting (EPF) over the last 15 years, with varying degrees of success. This review article aims at explaining the complexity of available solutions, their strengths and weaknesses, and the opportunities and treats that the forecasting tools offer or that may be encountered. The paper also looks ahead and speculates on the directions EPF will or should take in the next decade or so. In particular, it postulates the need for objective comparative EPF studies involving (i) the same datasets, (ii) the same robust error evaluation procedures and (iii) statistical testing of the significance of the outperformance of one model by another.

1,007 citations

Proceedings Article
27 Aug 1984

954 citations