Aims: Database creation is the most critical component of design and implementation any software application. Generally, process creating database from requirement specification a application believed to be extremely hard. This study presents method automatically generate scripts given scenario description specification.
 Study Design: The developed based on set natural language processing...

Due to the lack of historical output data new wind farms, there are difficulties in scheduling and planning power grid scenario generation. The randomness uncertainty meteorological factors lead results traditional generation methods not having ability accurately reflect their uncertainty. This article proposes a RAC-GAN-based method for farm output. First, Pearson coefficient is adopted this s...

Scenario generation is an important step in the operation and planning of power systems with high renewable penetrations. In this work, we proposed a data-driven approach for scenario generation using generative adversarial networks, which is based on two interconnected deep neural networks. Compared with existing methods based on probabilistic models that are often hard to scale or sample from...

Abstract Neural networks-based learning of the distribution non-dispatchable renewable electricity generation from sources, such as photovoltaics (PV) and wind well load demands, has recently gained attention. Normalizing flow density models are particularly suited for this task due to training through direct log-likelihood maximization. However, research field image shown that standard normali...

due to the nature of the sediment data, selection of appropriate methods for processing the data before entering them to the artificial intelligence models can enhance the reliability of simulations results. in this study, the effects of sediment data processing procedures on ann and anfis models outputs in 7 dez basin stations were evaluated. accordingly, three scenarios were considered: in th...

introduction the morphologic features of human sperms are key indicators for monitoring fertility problems in men. therefore, automated analyzing methods via microscopic videos have become the most favorite policy in infertility treatment during the last decades. materials and methods in the proposed method, firstly a hypothesis testing framework was defined to distinguish sperms from backgroun...