Conventional methods are commonly used to solve optimal power flow problems in system networks. However, conventional not suitable for solving large and non-linear as they influenced by initialization values more likely be trapped local optimum. Hence, heuristic optimization such Firefly Algorithm have been widely implemented overcome the limitations of methods. These often use random strategy ...

Using distributed generations (DGs) with optimal scheduling and optimal distribution feeder reconfiguration (DFR) are two aspects that can improve efficiency as well as technical and economic features of microgrids (MGs). This work presents a stochastic copula scenario-based framework to jointly carry out optimal scheduling of DGs and DFR. This framework takes into account non-dispatchable and ...

Individuals with depressive symptoms typically show deficits in decision-making. However, most work has emphasized decision-making under gain-maximization conditions. A gain-maximization framework may undermine decision-making when depressive symptoms are present because depressives are generally more sensitive to losses than gains. The present study examined decision making in a non-clinical s...

Individuals with depressive symptoms typically show deficits in decision-making. However, most work has emphasized decision-making under gain-maximization conditions. A gainmaximization framework may undermine decision-making when depressive symptoms are present because depressives are generally more sensitive to losses than gains. The present study examined decision making in a non-clinical sa...