نتایج جستجو برای: keywords forecasting

تعداد نتایج: 2009047  

Journal: :CoRR 2017
Mohamed Abuella Badrul Chowdhury

Generation and load balance is required in the economic scheduling of generating units in the smart grid. Variable energy generations particularly from wind and solar energy resources are witnessing a rapid boost, and, it is anticipated that with a certain level of their penetration, they become noteworthy sources of uncertainty. As in the case of load demand, energy forecasting can also be use...

Journal: :Community Literacy Journal 2013

Journal: :Community Literacy Journal 2012

Journal: :European Journal of Cultural Studies 2021

Journal: :Bioscope: South Asian Screen Studies 2021

Journal: :International Journal of Corpus Linguistics 2022

Abstract This paper applies a new approach to the identification of discourses, based on Multiple Correspondence Analysis (MCA), study discourse variation over time. The MCA keywords deals with major issue use identify discourses: allocation individual multiple discourses. Yet, as this demonstrates, also allows us observe in prevalence discourses texts patterns keyword co-occurrence. Metadata c...

Journal: :Vision Research 2006

Authors are requested to select key words from the following list. You may use plurals and adjectives for combinations like absolute pupillary response, centrifugal optic nerve, inter blobs, etc. If key words are needed which do not appear in this list, please underline them. For animal classification the Latin nomenclature should be used. p-mechanism A-scan a-wave aberration absolute absorptio...

2013
Ashar Ahmed

Traffic prediction involves forecasting traffic in terms of Annual Average Daily Traffic (AADT), Design Hour Volumes (DHV) and Directional Design Hour Volumes (DDHV). These forecasts are used for a wide variety of purposes from the planning to the design and operational stages of the highway network. The forecasting needs the historical traffic data as well as the systems characteristics, apart...

2008
Barbara Rossi

We evaluate various models’relative performance in forecasting future US output growth and in‡ation on a monthly basis. Our approach takes into account the possibility that the models’relative performance can be varying over time. We show that the models’ relative performance has, in fact, changed dramatically over time, both for revised and real-time data, and investigate possible factors that...

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