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Using baseline methods to identify non-technical losses in the context of smart grids
(2013-08-26)
Demand response has gained increasing importance in the context of competitive electricity markets and smart grid environments. In addition to the importance that has been given to the development of business models for ...
Using baseline methods to identify non-technical losses in the context of smart grids
(2013-08-26)
Demand response has gained increasing importance in the context of competitive electricity markets and smart grid environments. In addition to the importance that has been given to the development of business models for ...
Baseline-free Damage Imaging Algorithm using Spatial Frequency Domain Virtual Time Reversal
(2021-01-01)
Structural health monitoring techniques are widely used in industry applications to guarantee the integrity of several types of components. This article proposes a baseline-free damage imaging algorithm based on Spatial ...
Using probabilistic analysis to improve greenhouse gas baseline forecasts in developing country contexts: the case of Chile
(Taylor and Francis Ltd., 2019)
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. In this paper, initial steps are presented toward characterizing, quantifying, incorporating and communicating uncertainty applying a probabilistic ...
Bayesian regularization for flexible baseline hazard functions in Cox survival models
(WILEY, 2021)
Fully Bayesian methods for Cox models specify a model for the baseline hazard function. Parametric approaches generally provide monotone estimations. Semi-parametric choices allow for more flexible patterns but they can ...
A conjoint analysis framework for evaluating user preferences in machine translation
(2014)
Despite much research on machine translation (MT) evaluation, there is surprisingly little work that directly measures users' intuitive or emotional preferences regarding different types of MT errors. However, the elicitation ...