Generation Expansion Planning (GEP) is one of the most important decision-making activities in electric utilities. Least-cost GEP is to determine the minimum-cost capacity addition plan (i.e., the type and number of candidate plants) that meets forecasted demand within a pre specified reliability criterion over a planning horizon. In this paper, Differential Evolution (DE), and Oppositionbased ...

In this paper, we study a class of risk-sensitive mean-field stochastic differential games. Under regularity assumptions, we use results from standard risk-sensitive differential game theory to show that the mean-field value of the exponentiated cost functional coincides with the value function of a Hamilton-Jacobi-Bellman-Fleming (HJBF) equation with an additional quadratic term. We provide an...

Zolpidem is a drug that is easily attached to the GABA receptors in the brain. This property makes it very effective for tranquilizing as well as hypnagogia. According to the advantages of electrochemical analysis like high selectivity, high sensitivity, low concentration of analyte, cost-effective, portable and easy-to-use setup, they gained high amount of attention among scientists for determ...

This paper presents various optimization techniques to solve the problem of Economic Dispatch (ED). The optimization techniques used in this paper to do the comparison are Quadratic Programming (QP), Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO), Simulated Annealing (SA), Differential Evolution (DE) and Genetic Algorithm (GA). The objective of Economic Dispatch is to minimize t...

The growing importance of wireless media for voice and data communications is driving a need for higher integration in personal communications transceivers in order to achieve lower cost, smaller form factor, and lower power dissipation [1]. One approach to this problem is to integrate the RF functionality in low-cost CMOS technology together with the baseband transceiver functions. This in tur...

In the present paper, dynamic identification problem of a FE structure with unknown parameters is solved by global search method. Response surface methodology is introduced in Differential Evolution algorithm to improve the performance of the algorithm. Differential evolution (DE) is an evolutionary algorithm where N different vectors collecting the parameters of the system are chosen randomly ...

We demonstrate that it is possible to train large recurrent language models with user-level differential privacy guarantees with only a negligible cost in predictive accuracy. Our work builds on recent advances in the training of deep networks on user-partitioned data and privacy accounting for stochastic gradient descent. In particular, we add user-level privacy protection to the federated ave...

We consider stochastic differential games with N players, linear-Gaussian dynamics in arbitrary state-space dimension, and long-time-average cost with quadratic running cost. Admissible controls are feedbacks for which the system is ergodic. We first study the existence of affine Nash equilibria by means of an associated system of N Hamilton-JacobiBellman and N Kolmogorov-Fokker-Planck partial ...

In the context of high dependency on fossil fuels, strong efforts aiming to shift towards a more sustainable world are having significant economic and political impacts. The electricity market is now encouraging prosumers consume their own production, thus reduce grid exchanges. Self-consumption can be increased using storage systems or rescheduling loads. This effort involves not only resident...