In this paper, the application of neural networks to study the design of short-term load forecasting (STLF) Systems for Illam state located in west of Iran was explored. One important architecture of neural networks named Multi-Layer Perceptron (MLP) to model STLF systems was used. Our study based on MLP was trained and tested using three years (2004-2006) data. The results show that MLP networ...

This paper estimates reduced-form Phillips curves for Brazil with a framework of time series with unobserved components, in the spirit of Harvey (2011). However, we allow for expectations to play a key role using data from the Central Bank of Brazil’s Focus survey. Besides GDP, we also use industrial capacity utilization rate and IBC-Br index, as measures of economic activity. Our findings supp...

To improve accuracy and reliability, Boolean combination (BC) can efficiently integrate the responses of multiple biometric systems in the ROC space. However, BC techniques assume that recognition systems are conditionally-independent and that their ROC curves are convex. These assumptions are rarely valid in practice, where systems face complex environments, and are designed using limited enro...

Data-Driven Inversion-Based Control (D-IBC) is a recently introduced control design method for uncertain nonlinear systems, relying on a two degree-of-freedom architecture, with a nonlinear controller and a linear controller running in parallel. In this paper, extending to the MIMO case a previous result holding for the SISO case, we derive a finite-gain stability sufficient condition for a clo...

Countries need robust long-term plans to keep up with the global pace of transitioning from pollutant fossil fuels towards clean, renewable energies. Renewable energy generation expansion can be either centralized, decentralized, or a combination these two. This paper presents novel approach obtain an optimal multi-period plan for generating each type (solar, wind, hydro, geothermal, and biomas...

In this paper a multi-parameter A*(Astar)-ants based algorithm is proposed in order to find the best optimized multi-parameter path between two desired points in regions. This algorithm recognizes paths, according to user desired parameters using electronic maps. The proposed algorithm is a combination of A* and ants algorithm in which the proposed A* algorithm is the prologue to the suggested ...