Results 211 to 220 of about 444,760 (265)
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On-demand numerosity reduction for object learning
Proceedings of the workshop on Internet of Things and Service Platforms, 2011In Internet of Things, softwares shall enable their host objects (everyday-objects) to monitor other objects, take actions, and notify humans while using some form of reasoning. The ever changing nature of real life environment necessitates the need for these objects to be able to generalize various inputs inductively in order to play their roles more ...
Khamisi Kalegele +5 more
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Demand for health risk reductions
Journal of Environmental Economics and Management, 2013Abstract A choice model based on utility in a sequence of prospective future health states permits us to generalize the concept of the value of statistical life (VSL). Our representative national survey asks individuals to choose between costly risk-reducing programs and the status quo in randomized stated choice scenarios.
Trudy Ann Cameron, J.R. DeShazo
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Peak Demand Reduction using Energy Storage System for Demand Response
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2019This paper proposes an energy storage system (ESS) management algorithm to reduce the peak electricity consumption for demand response (DR). In a building equipped with an ESS and a photovoltaic generator, the amount of energy charged into the ESS can be used to reduce the peak demand of the following day. The proposed algorithm calculates the feasible
Hannie Zang +3 more
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Demand uncertainty reduction among competing retailers
Production and Operations Management, 2023While the existing literature has studied the impact of demand uncertainty extensively within various monopoly settings, there is little research on its impact among competitive retailers. In this paper, we study the effects of demand uncertainty reduction in a setting with two newsvendor retailers competing on product availability. We parameterize the
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On-demand Data Numerosity Reduction for Learning Artifacts
2012 IEEE 26th International Conference on Advanced Information Networking and Applications, 2012In domains in which single agent learning is a more natural metaphor for an artifact-embedded agent, Exemplar-Based Learning (EBL) requires significantly large sets of training examples for it to be applicable. Obviously large sets of training examples contradict resource capabilities of artifacts. To make EBL a possibility for these artifacts, sets of
Khamisi Kalegele +5 more
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The UK is facing an energy crisis on three fronts: climate change, energy security, and affordability. Energy demand reduction is fundamental to improving the UK’s performance on all three. Research has shown that reducing energy use could meet half of the required greenhouse gas emissions reductions needed by 2050 for the UK to become a Net Zero ...
Colechin, Keelan, Colechin, Mike
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Colechin, Keelan, Colechin, Mike
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An Entropy‐Based Methodology for Valuation of Demand Uncertainty Reduction
Decision Sciences, 2014ABSTRACTWe propose a distribution‐free entropy‐based methodology to calculate the expected value of an uncertainty reduction effort and present our results within the context of reducing demand uncertainty. In contrast to existing techniques, the methodology does not require a priori assumptions regarding the underlying demand distribution, does not ...
Adam J. Fleischhacker, Pak-Wing Fok
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Reduction of sand demand for shore protection
Coastal Engineering, 2002Beach nourishment is an environmentally preferred method of shore protection, but the annual sand requirement may lead to substantial maintenance costs. The shoreline processes, involving the surf zone, beach and dune, are reviewed with the aim of reducing the annual sand requirement of eroding shorelines.
Arved J. Raudkivi, Hans-H. Dette
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Mobile Storage for Demand Charge Reduction
IEEE Transactions on Intelligent Transportation Systems, 2022Junjie Qin +2 more
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