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Category Pricing with State-Dependent Utility

Jean-Pierre Dubé, Günter J. Hitsch, Peter E. Rossi, Maria Ana Vitorino
2008 Marketing science (Providence, R.I.)  
We implement a highly flexible model of heterogeneity using multivariate mixtures of normals in a hierarchical choice model.  ...  We use an Euler equations approach to the solution of the dynamic pricing problem which allows us to consider a very large number of consumer types.  ...  Hence, a forward-looking firm uses prices to control the number of loyals to the higher quality good. Model Demand We consider a market where households exhibit state dependence in product choice.  ... 
doi:10.1287/mksc.1070.0305 fatcat:fbrcwjg3vnf6rloaoaizoii57u

Data Driven Optimization of Energy Management in Residential Buildings with Energy Harvesting and Storage

Nadia Ahmed, Marco Levorato, Roberto Valentini, Guann-Pyng Li
2020 Energies  
The model and control rationale takes into account the dynamics of load, the weather, the weather forecast, the utility, and consumer preferences into a unified Markov decision process.  ...  This paper presents a battery-aware stochastic control framework for residential energy management systems (EMS) equipped with energy harvesting, that is, photovoltaic panels, and storage capabilities.  ...  HEMS is a viable solution in residential demand side management. According to Reference [9] , HEMS has to ability to reduce peak demand by 29.6% and operational electricity cost by 23.1%.  ... 
doi:10.3390/en13092201 fatcat:7c6r4cxlwbg6fisjrbyqd3tdky

A BEHAVIORAL MODEL OF LANDSCAPE CHANGE IN THE AMAZON BASIN: THE COLONIST CASE

Robert Walker, Scott A. Drzyzga, Yali Li, Jiaguo Qi, Marcellus Caldas, Eugenio Arima, Dante Vergara
2004 Ecological Applications  
It then uses insight from the behavioral statement to motivate a GIS-based model architecture.  ...  In so doing, the model unites the richness of survey research on farm households with the analytical rigor of spatial analysis enabled by geographic information systems (GIS).  ...  , in response to growing demand for land by migrants.  ... 
doi:10.1890/01-6004 fatcat:iyzglzmopbeezewcnqzlsm5iru

Survivability Evaluation of Gas, Water and Electricity Infrastructures

Alberto Avritzer, Laura Carnevali, Hamed Ghasemieh, Lucia Happe, Boudewijn R. Haverkort, Anne Koziolek, Daniel Menasche, Anne Remke, Sahra Sedigh Sarvestani, Enrico Vicario
2015 Electronical Notes in Theoretical Computer Science  
The infrastructures used in cities to supply power, water and gas are consistently becoming more automated.  ...  In this overview, we first touch upon a taxonomy on survivability of cyber-physical infrastructures, before we focus on three classes of infrastructures (gas, water and electricity) and discuss recent modelling  ...  We thank these organisers for inviting us; we thank Dagstuhl for facilitating this seminar.  ... 
doi:10.1016/j.entcs.2014.12.010 fatcat:nomp4fbksfewljvdoqdex5r4fe

Representing Long-term Impact of Residential Building Energy Management using Stochastic Dynamic Programming

Kasper Emil Thorvaldsen, Sigurd Bjarghov, Hossein Farahmand
2020 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)  
Index Terms-Demand-side management, Grid tariff, Operational planning, Stochastic dynamic programming NOMENCLATURE Index sets S g set of state variables T Set of time steps within the day G set of days  ...  The uncertainty in load demand and weather are considered using a discrete Markov chain setup.  ...  Index Terms-Demand-side management, Grid tariff, Operational planning, Stochastic I.  ... 
doi:10.1109/pmaps47429.2020.9183623 fatcat:dqzb4fgi6vdobllmd5sntjkacu

Representing Long-term Impact of Residential Building Energy Management using Stochastic Dynamic Programming [article]

Kasper Emil Thorvaldsen, Sigurd Bjarghov, Hossein Farahmand
2020 arXiv   pre-print
The uncertainty in load demand and weather are considered using a discrete Markov chain setup.  ...  Therefore, the authors propose a mathematical model using stochastic dynamic programming (SDP) that tries to represent the long-term impact of current decision-making.  ...  Index Terms-Demand-side management, Grid tariff, Operational planning, Stochastic I.  ... 
arXiv:2008.10528v1 fatcat:fuhk7cvj75cx7pkcrkshywg2r4

Towards optimal energy store-carry-and-deliver for PHEVs via V2G system

Hao Liang, Bong Jun Choi, Weihua Zhuang, Xuemin Shen
2012 2012 Proceedings IEEE INFOCOM  
In this paper, we address a specific problem in this new research area, i.e., daily energy cost minimization of vehicle owners under time-of-use (TOU) electricity pricing.  ...  demand.  ...  Specifically, when z units of energy is used to recharge the battery, the energy that can be fed back to the grid or used by the household appliances is ηz (0 < η < 1), where η is the round-trip efficiency  ... 
doi:10.1109/infcom.2012.6195538 dblp:conf/infocom/LiangCZS12 fatcat:v4imcqx4sbai5oujcaifa5hnsm

A Probabilistic Model to Predict Household Occupancy Profiles for Home Energy Management Applications

Luis Rueda, Simon Sansregret, Brice Le Lostec, Kodjo Agbossou, Nilson Henao, Sousso Kelouwani
2021 IEEE Access  
The discrete-time Markov chain theory and the semi-parametric Cox proportional hazards model (Cox regression) are used to predict household occupancy profiles.  ...  Validation results demonstrate that the proposed approach is highly efficient in generating realistic household occupancy profiles.  ...  His present research activities are in the areas of renewable energy, the use of hydrogen, Home demand side management (HDSM), integration of energy production, storage and electrical energy generation  ... 
doi:10.1109/access.2021.3063502 fatcat:5yxgls4bc5dh5b3ld5cqs7ovti

The design approach to socio-economic modelling

F.D. Gault, K.E. Hamilton, R.B. Hoffman, B.C. McInnis
1987 Futures : The journal of policy, planning and futures studies  
The number of households is calculated by applying age and sex-specific headship ratios to the population, using the Canadian census definitions of household and headship.  ...  the Markovian condition on the models.  ... 
doi:10.1016/0016-3287(87)90036-x fatcat:e7vhif32bnfmxcnzr5uqgdwq7e

Long-term care cost drivers and expenditure projection to 2036 in Hong Kong

Roger Y Chung, Keith YK Tin, Benjamin J Cowling, King Pan Chan, Wai Man Chan, Su Vui Lo, Gabriel M Leung
2009 BMC Health Services Research  
Methods: We parameterised a macro actuarial simulation with data from official demographic projections, Thematic Household Survey 2004, Hong Kong's Domestic Health Accounts and other routine data from  ...  We then multiplied the probability of use, as estimated above, by the number of older adults in each stratum, yielding age-sexservice specific utilisation volume as an output for the likely level of demand  ...  Specifically, spending on assessment and care management for the base year was estimated as per the government budgetary subheads of "Services for the Elderly" and "Social Security" programmes of SWD.  ... 
doi:10.1186/1472-6963-9-172 pmid:19775476 pmcid:PMC2765433 fatcat:ebhj7jglgrh3dllbwdzkb4ph24

Endogeneity and Simultaneity in Competitive Pricing and Advertising: A Logit Demand Analysis*

Pradeep K. Chintagunta, Vrinda Kadiyali, Naufel J. Vilcassim
2006 The journal of business  
those estimated using household data.  ...  Hausman (1978) Specification Test As mentioned previously, a critical issue in estimating a demand-and-supply model is that in such models, a misspecification of the supply-side equations can bias estimates  ... 
doi:10.1086/507998 fatcat:52ibci3w3zaijks63x62df3qni

A personal view on the development of system identification 1

Michel Gevers
2003 IFAC Proceedings Volumes  
This led to the view of identification as a design problem, in which the ultimate use of the model plays a paramount role in the formulation of the experiment design and in the choice of the identification  ...  This paper presents the author's personal view on the development of identification theory in the control community, starting from the year 1965.  ...  If the model is to be used for a specific purpose (as is most often the case), then perhaps one can construct a model in such a way that the model errors do not penalize too much the goal for which the  ... 
doi:10.1016/s1474-6670(17)34850-4 fatcat:iojacqsq75cjjaqbhoibsjroga

Asset liability management for individual households

M. A. H. Dempster, E. A. Medova
2011 British Actuarial Journal  
Taxes and pension savings are treated using the tax shielded saving accounts specific to a national jurisdiction in terms of constraints in the optimization sub-models.  ...  This paper presents an individual asset liability management (iALM) model for life cycle planning which uses the methodology of dynamic stochastic optimization and incorporates ideas from both classical  ...  Any use of specific mortality tables puts significant demand on additional data collection for personal factors, although this would improve the accuracy of life duration scenarios.  ... 
doi:10.1017/s135732171100016x fatcat:ycj42jokmngxvjvsyiomwwznle

Wireless and mobile networking (Foreword)

Jerzy Konorski
2010 Telecommunications Systems  
Superimposed on these factors is the time-varying number of active users in the cell, which the authors take into account using Markovian modeling of user data flows.  ...  side of the terminal-network connection.  ...  His current work focuses on the application of game theory to medium access control and packet forwarding in wireless networks.  ... 
doi:10.1007/s11235-010-9339-6 fatcat:nr4dumdovjg27aetursmcjzeji

Persistent Educational Advantage Across Three Generations: Empirical Evidence for Germany

Andrea Ziefle
2016 Sociological Science  
This article uses survey data from the German Socio-Economic Panel (GSOEP) to analyze the persistence of educational attainment across three generations in Germany.  ...  For West Germany, the results are little changed by using either variant of the two, net grandparent effect specifications (models B and C), yet for East Germany, the variant making smaller demands on  ...  The regression models of Table 3 test these predictions using the second (model B) specification from Table 1 -i.e., the regression model that includes measures of parental education (highest and mother's  ... 
doi:10.15195/v3.a47 fatcat:f5z5ss7apfgs7f5sptcqbmsqxm
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