Showing 1 - 10 of 62
The use of wind energy as a renewable source of energy is rapidly increasing all over the world as demand for energy is rising. Apart from wind blow, different social and local criteria are important for location optimization of wind power generation–transmission plants. This study presents an...
Persistent link: https://www.econbiz.de/10010729883
Bioenergy has been recognized as an important source of energy that will reduce dependency on petroleum. It would have a positive impact on the economy, environment, and society. Production of bioenergy is expected to increase. As a result, we foresee an increase in the number of biorefineries...
Persistent link: https://www.econbiz.de/10010939847
Genetic algorithms (GAs) have been used in the clustering subject. Also, a clustering ensemble as one acceptable clustering method combines the results of multiple clustering methods on a given dataset and creates final clustering on the dataset. In this paper, genetic algorithm base on...
Persistent link: https://www.econbiz.de/10010670143
Persistent link: https://www.econbiz.de/10007594851
Persistent link: https://www.econbiz.de/10008078961
Persistent link: https://www.econbiz.de/10009821369
Unique features of wind energy have caused increasing demands for such resources in various countries. In order to use wind energy as a natural resource, environmental circumstances and geographical location related to wind intensity must be considered. Different factors may affect on the...
Persistent link: https://www.econbiz.de/10010803654
This study presents an integrated fuzzy regression and time series framework to estimate and predict electricity demand for seasonal and monthly changes in electricity consumption especially in developing countries such as China and Iran with non-stationary data. Furthermore, it is difficult to...
Persistent link: https://www.econbiz.de/10010809152
Utilization of small data sets for energy consumption forecasting is a major problem because it could create large noise. This study presents a hybrid framework for improvement of energy consumption estimation with small data sets. The framework is based on fuzzy regression, conventional...
Persistent link: https://www.econbiz.de/10010810676
This paper introduces an integrated algorithm for forecasting electricity consumption (EL) based on fuzzy regression, time series and principal component analysis (PCA) in uncertain markets such as Iran. The algorithm is examined by mean absolute percentage error, analysis of variance (ANOVA)...
Persistent link: https://www.econbiz.de/10010843936