Mapping spatial distribution of particulate matter using Kriging and Inverse Distance Weighting at supersites of megacity Delhi
Anthropogenic airborne particulates are among the major contributors to urban air pollution
and pose a significant health risk. Particulate matter has emerged as a serious pollution …
and pose a significant health risk. Particulate matter has emerged as a serious pollution …
A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation
IG Damousis, MC Alexiadis… - IEEE Transactions …, 2004 - ieeexplore.ieee.org
In this paper, a fuzzy model is suggested for the prediction of wind speed and the produced
electrical power at a wind park. The model is trained using a genetic algorithm-based …
electrical power at a wind park. The model is trained using a genetic algorithm-based …
The unintended impacts of agricultural fires: Human capital in China
The practice of burning agricultural waste is ubiquitous around the world, yet the external
human capital costs from those fires have been underexplored. Using data from the National …
human capital costs from those fires have been underexplored. Using data from the National …
Catchment precipitation processes in the San Francisco valley in southern Ecuador: Combined approach using high-resolution radar images and in situ observations
The precise estimation of precipitation quantities in tropical mountain regions is in great
demand by ecological and hydrological studies, due to the heterogeneity of the rainfall …
demand by ecological and hydrological studies, due to the heterogeneity of the rainfall …
Locally recurrent neural networks for wind speed prediction using spatial correlation
TG Barbounis, JB Theocharis - Information Sciences, 2007 - Elsevier
This paper deals with the wind speed prediction in wind farms, using spatial information from
remote measurement stations. Owing to the temporal complexity of the problem, we employ …
remote measurement stations. Owing to the temporal complexity of the problem, we employ …
A locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation
TG Barbounis, JB Theocharis - Neurocomputing, 2007 - Elsevier
In this paper, a locally feedback dynamic fuzzy neural network (LF-DFNN) for modeling of
temporal processes is suggested. The model is composed of dynamic TSK-type fuzzy rules …
temporal processes is suggested. The model is composed of dynamic TSK-type fuzzy rules …
Forest climatology: estimation of missing values for Bavaria, Germany
Estimation of missing values in climatological time series is an important task. In order to find
an appropriate method, we examined six methods for estimating missing climatological data …
an appropriate method, we examined six methods for estimating missing climatological data …
Multifractal analysis of the time series of daily means of wind speed in complex regions
In this paper, we applied the multifractal detrended fluctuation analysis to the daily means of
wind speed measured by 119 weather stations distributed over the territory of Switzerland …
wind speed measured by 119 weather stations distributed over the territory of Switzerland …
Spatial interpolation and orographic correction to estimate wind energy resource in Venezuela
This paper presents a wind resource assessment in Venezuela using an efficient
combination of spatial interpolation and orographic correction for wind mapping. Mesoscale …
combination of spatial interpolation and orographic correction for wind mapping. Mesoscale …
A fuzzy expert system for the forecasting of wind speed and power generation in wind farms
IG Damousis, P Dokopoulos - PICA 2001. Innovative …, 2001 - ieeexplore.ieee.org
This paper presents a fuzzy expert system that forecasts the wind speed at a wind energy
conversion system (WECS) site and the electrical power that will be generated. The user can …
conversion system (WECS) site and the electrical power that will be generated. The user can …