Complex network approach for recurrence analysis of time series
We propose a novel approach for analysing time series using complex network theory. We
identify the recurrence matrix (calculated from time series) with the adjacency matrix of a …
identify the recurrence matrix (calculated from time series) with the adjacency matrix of a …
A comparative study of optimal hybrid methods for wind power prediction in wind farm of Alberta, Canada
N Bigdeli, K Afshar, AS Gazafroudi… - … and sustainable energy …, 2013 - Elsevier
In the recent years, by rapid growth of wind power generation in addition to its high
penetration in power systems, the wind power prediction has been known as an important …
penetration in power systems, the wind power prediction has been known as an important …
A new feature selection algorithm and composite neural network for electricity price forecasting
F Keynia - Engineering Applications of Artificial Intelligence, 2012 - Elsevier
In a competitive electricity market, the forecasting of energy prices is an important activity for
all the market participants either for developing bidding strategies or for making investment …
all the market participants either for developing bidding strategies or for making investment …
A system dynamics model for the analysis of the deregulation in electricity market
A Gholizad, L Ahmadi, E Hassannayebi… - International Journal of …, 2017 - igi-global.com
The process of privatization of the electricity market involves the serious needs of the
industry in order to increase productivity, attract private investment and partnerships. If …
industry in order to increase productivity, attract private investment and partnerships. If …
Recurrence-based analysis and controlling switching between synchronous silence and bursting states of coupled generalized FitzHugh-Nagumo models driven by …
We investigate the response characteristics of a generalized FitzHugh-Nagumo model
under an external sinusoidal current and the synchronization of two neurons coupled with a …
under an external sinusoidal current and the synchronization of two neurons coupled with a …
Market power analysis for the Iranian electricity market
The market power problem in Iranian electricity market is addressed in this study. This paper
by using various structural indices of market power and reviewing market results analyzes …
by using various structural indices of market power and reviewing market results analyzes …
Accurate modeling of uncertainties based on their dynamics analysis in microgrid planning
The accurate modeling of uncertainties is one important issue in planning of microgrids. The
more accurate modeling of the uncertainties results in answers of the stochastic optimization …
more accurate modeling of the uncertainties results in answers of the stochastic optimization …
Forecasting spanish unemployment using near neighbour and neural net techniques
E Olmedo - Computational Economics, 2014 - Springer
In this paper, alternative non-parametric forecasting techniques are analysed, with emphasis
placed on the difference between the reconstruction and learning approaches. The former is …
placed on the difference between the reconstruction and learning approaches. The former is …
Pay-as-bid versus marginal pricing: The role of suppliers strategic behavior
This paper illustrates how a generator profit may be affected by the pricing method of an
oligopoly market model. Through utilizing a bilevel optimization technique and game theory …
oligopoly market model. Through utilizing a bilevel optimization technique and game theory …
Electricity price forecasts using a Curvelet denoising based approach
K He, Y Xu, Y Zou, L Tang - Physica A: Statistical Mechanics and its …, 2015 - Elsevier
Price movement in the electricity market can be viewed as a nonlinear and dynamic system,
exhibiting significant chaotic and multiscale characteristics. To conduct more accurate …
exhibiting significant chaotic and multiscale characteristics. To conduct more accurate …