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Estimation of a preference map of new consumers for spatial load forecasting simulation methods using a spatial analysis of points
(Elsevier B.V., 2015-05-01)
The paper presents a spatial analysis of points especially suited to estimate a preference map for new consumers, which is then used as an analytical tool in spatial electric load forecasting. This approach is an exploratory ...
Data Issues in Spatial Electric Load Forecasting
(Ieee, 2014-01-01)
The magnitude and geographic location of electricity demand in the planning horizon are vital pieces of information for power distribution companies in planning future network expansion and operation. Such information is ...
Distribution of carabid beetles in agroecosystems across spatial scales - A review
(2008-10-28)
The review focuses on the questions (1) how does the spatial heterogeneity of landscape influences carabid biodiversity, and (2) what are the main factors causing this biodiversity across nested spatial scales (study point ...
Distribution of carabid beetles in agroecosystems across spatial scales - A review
(2008-10-28)
The review focuses on the questions (1) how does the spatial heterogeneity of landscape influences carabid biodiversity, and (2) what are the main factors causing this biodiversity across nested spatial scales (study point ...
Non randomness in spatial distribution in two inland water species malacostracans
(ELSEVIER SCIENCE BV, 2017)
Grid-based simulation method for spatial electric load forecasting using power-law distribution with fractal exponent
(2016-06-01)
A grid-based simulation method to forecast the spatial growth of load density in a distribution utility service zone is presented. The future load density is simulated considering a city's dynamic growth. A power-law ...
Spatial Pattern Recognition of Urban Sprawl Using a Geographically Weighted Regression for Spatial Electric Load Forecasting
(Ieee, 2015-01-01)
Distribution utilities must perform forecasts in spatial manner to determine the locations that could increase their electric demand. In general, these forecasts are made in the urban area, without regard to the preferences ...
Spatial pattern recognition of urban sprawl using a geographically weighted regression for spatial electric load forecasting
(2015-11-10)
Distribution utilities must perform forecasts in spatial manner to determine the locations that could increase their electric demand. In general, these forecasts are made in the urban area, without regard to the preferences ...
Spatial clustering applied to health area
(2011-12-01)
The significant volume of work accidents in the cities causes an expressive loss to society. The development of Spatial Data Mining technologies presents a new perspective for the extraction of knowledge from the correlation ...