In this paper, a novel multi-dimensional scenario forecast approach which can capture the dynamic temporal-spatial interdependence relation among the outputs of multiple wind farms is proposed.
A novel multi-dimensional scenario forecast approach which can capture the dynamic temporal-spatial interdependence relation among the outputs of multiple wind farms is proposed.
The results show that Brazil shares highly interdependent relations with The United States, an intermediate degree of interdependence with Europe and a low degree of interdependence with China.
Rather than sharply divide life science, social science, and individual experience, contemporary approaches argue for their interdependence in relation to various scales of attention (Davis et al. 2000; Esbjorn-Hargens et al. 2010; Lee 2011; Weil 2004).
The interdependence of international relations with respect to sustainable development, climate change response, and DRM and reduction has been widely documented and implemented, albeit at different levels of maturity (Keohane 1988; SADC 1992; Setear 1997; Sterling-Folker 2000; UNISDR 2005; Dunne et al. 2007; UNFCCC 2007).
To achieve peace, this one negative relation of interdependence must be transformed into several positive relations of interdependence on the cultural, economic, social and productive planes.
Just as the passions exhibit and produce dependence on the body, so too do they exhibit and produce social relations and interdependence on others.
While a focus only on CBR for developing such relations of interdependence is clearly insufficient, it is a remarkably useful starting point.
