Matches in SemOpenAlex for { <https://semopenalex.org/work/W2028549968> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W2028549968 endingPage "467" @default.
- W2028549968 startingPage "459" @default.
- W2028549968 abstract "A model to generate daily sequences of hourly power demand values is described. Inputs are the daily values of energy consumption and load-factors (the ratio between mean and peak load). The whole model covers three independent first-order autoregressive models to generate data sequences of, respectively, daily energy consumption, daily load-factor and hourly power demand. The analysis of a power demand data set reveals that energy consumption and load-factor are independent variables; two independent time series of daily values of energy consumption and load-factor are built; their statistical and sequential properties can be described with first-order autoregressive models. Assuming a villlage’s consumption-structure as characterized by load curves with a peak load at night, the load-factor is taken as a shape-factor for these curves. A frequency distribution is built on daily load factors. The data sequence is, then, sorted into groups of daily curves, each one characterized by a load-factor-class. A daily average load curve is estimated for each class, along with its daily standard deviation curve. An analysis of each group of daily curves shows that the statistical and sequential properties of each one can be also described with first-order autoregressive models. For modelling purposes, the autocorrelation coefficient is determined for each load-factor class. Thus, energy and power relate to each other under different load-factors. Application examples are offered, for design purposes." @default.
- W2028549968 created "2016-06-24" @default.
- W2028549968 creator A5008244048 @default.
- W2028549968 creator A5023902809 @default.
- W2028549968 date "1999-09-01" @default.
- W2028549968 modified "2023-09-24" @default.
- W2028549968 title "A methodology for modelling synthetic daily sequences of hourly power demand for villages and small towns, based on stochastic processes" @default.
- W2028549968 cites W1978757382 @default.
- W2028549968 cites W2048660937 @default.
- W2028549968 cites W2313953460 @default.
- W2028549968 cites W79027983 @default.
- W2028549968 cites W2114001875 @default.
- W2028549968 doi "https://doi.org/10.1016/s0038-092x(99)00049-3" @default.
- W2028549968 hasPublicationYear "1999" @default.
- W2028549968 type Work @default.
- W2028549968 sameAs 2028549968 @default.
- W2028549968 citedByCount "3" @default.
- W2028549968 crossrefType "journal-article" @default.
- W2028549968 hasAuthorship W2028549968A5008244048 @default.
- W2028549968 hasAuthorship W2028549968A5023902809 @default.
- W2028549968 hasConcept C105795698 @default.
- W2028549968 hasConcept C119599485 @default.
- W2028549968 hasConcept C127413603 @default.
- W2028549968 hasConcept C149782125 @default.
- W2028549968 hasConcept C159877910 @default.
- W2028549968 hasConcept C206658404 @default.
- W2028549968 hasConcept C22679943 @default.
- W2028549968 hasConcept C2777908891 @default.
- W2028549968 hasConcept C2780165032 @default.
- W2028549968 hasConcept C33923547 @default.
- W2028549968 hasConcept C41008148 @default.
- W2028549968 hasConcept C5297727 @default.
- W2028549968 hasConceptScore W2028549968C105795698 @default.
- W2028549968 hasConceptScore W2028549968C119599485 @default.
- W2028549968 hasConceptScore W2028549968C127413603 @default.
- W2028549968 hasConceptScore W2028549968C149782125 @default.
- W2028549968 hasConceptScore W2028549968C159877910 @default.
- W2028549968 hasConceptScore W2028549968C206658404 @default.
- W2028549968 hasConceptScore W2028549968C22679943 @default.
- W2028549968 hasConceptScore W2028549968C2777908891 @default.
- W2028549968 hasConceptScore W2028549968C2780165032 @default.
- W2028549968 hasConceptScore W2028549968C33923547 @default.
- W2028549968 hasConceptScore W2028549968C41008148 @default.
- W2028549968 hasConceptScore W2028549968C5297727 @default.
- W2028549968 hasIssue "6" @default.
- W2028549968 hasLocation W20285499681 @default.
- W2028549968 hasOpenAccess W2028549968 @default.
- W2028549968 hasPrimaryLocation W20285499681 @default.
- W2028549968 hasRelatedWork W2015345640 @default.
- W2028549968 hasRelatedWork W2017490139 @default.
- W2028549968 hasRelatedWork W2030646971 @default.
- W2028549968 hasRelatedWork W2054265184 @default.
- W2028549968 hasRelatedWork W2163467184 @default.
- W2028549968 hasRelatedWork W2345761137 @default.
- W2028549968 hasRelatedWork W2892449380 @default.
- W2028549968 hasRelatedWork W2952563579 @default.
- W2028549968 hasRelatedWork W4281877270 @default.
- W2028549968 hasRelatedWork W802459115 @default.
- W2028549968 hasVolume "66" @default.
- W2028549968 isParatext "false" @default.
- W2028549968 isRetracted "false" @default.
- W2028549968 magId "2028549968" @default.
- W2028549968 workType "article" @default.