This paper presents the degradation prognosis of Proton Exchange Membrane Fuel Cell (PEMFC) operated under several conditions based on combination two types data: data from postal fuel cell hybrid electric vehicles equipped with PEMFC and carrying out their delivery missions laboratory. The is wavelet analysis Nonlinear Autoregressive Exogenous Neural Network (NARX). influences historical state...

Bacterial denitrification is expressed in response to the concurrent exogenous signals of low-oxygen tension and nitrate or one of its reduction products. The mechanism by which nitrate-dependent gene activation is effected was investigated in the denitrifying bacterium Pseudomonas stutzeri ATCC 14405. We have identified and isolated from this organism the chromosomal region encoding the two-co...

Cyber-physical energy systems provide a networked solution for safety, reliability and efficiency problems in smart grids. On the demand side, the secure and trustworthy energy supply requires real-time supervising and online power quality assessing. Harmonics measurement is necessary in power quality evaluation. However, under the large-scale distributed metering architecture, harmonic measure...

The Nonlinear autoregressive exogenous (NARX) model, which predicts the current value of a time series based upon its previous values as well as the current and past values of multiple driving (exogenous) series, has been studied for decades. Despite the fact that various NARX models have been developed, few of them can capture the long-term temporal dependencies appropriately and select the re...

Two on step ahead wind speed forecasting models were compared. A univariate model was developed using a linear autoregressive integrated moving average (ARIMA). This method’s performance is well studied for a large number of prediction problems. The other is a multivariate model developed using a nonlinear autoregressive exogenous artificial neural network (NARX). This uses the variables: barom...

This paper investigates the use of non-linear autoregressive exogenous (NARX) artificial neural networks (ANNs) to achieve black-box average dynamic models dc-dc converters capable capturing main converter non-linearities. Non-linearities may include, for example, behavior variations due changes operating point or mode (e.g., discontinuous conduction mode, continuous mode). presents design guid...

Dự báo ngắn hạn sản lượng điện năng mặt trời mái nhà là công cụ thiết yếu trong quá trình vận hành hệ thống một cách hiệu quả. Bài này bày khảo sát về dự của sử dụng các mạng neuron nhân tạo. Dữ liệu được thu thập từ giám với suất và bức xạ ngày 21/04/2022 đến 01/6/2022. Bốn mô hình để gồm: lan truyền thẳng nhiều lớp (MLFF), tự hồi quy phi tuyến tính đa biến ngoại sinh (NARX), bộ nhớ dài-ngắn (...

This paper investigates how to develop a learning-based demand response approach for electric water heater in a smart home that can minimize the energy cost of the water heater while meeting the comfort requirements of energy consumers. First, a learning-based, data-driven model of an electric water heater is developed by using a nonlinear autoregressive network with external input (NARX) using...

Myxococcus xanthus fibril exopolysaccharide (EPS), essential for the social gliding motility and development of this bacterium, is regulated by the Dif chemotaxis-like pathway. DifA, an MCP homolog, is proposed to mediate signal input to the Dif pathway. However, DifA lacks a prominent periplasmic domain, which in classical chemoreceptors is responsible for signal perception and for initiating ...