The integration of renewable energy resources into smart grids has become increasingly important to address the challenges managing and forecasting production in fourth revolution. To this end, artificial intelligence (AI) emerged as a powerful tool for improving control management. This study investigates application machine learning techniques, specifically ARIMA (auto-regressive integrated m...

The impact of global remittance inflows on numerous macro and microeconomic parameters has long piqued the interest researchers, policymakers, academics. Remittances have always been vital to Turkey's development as a recipient country. However, this trend recently changed, Turkey is currently receiving significantly less remittance, reduction in well noted its economic performance. This study ...

The main challenge in a full-duplex transceiver design is created by the self-interference caused coupling of transmitted signal to transceiver’s own receiver. effect non-linear operation both power amplifier at transmitter and low noise receiver are considered cancelation. performance three cancelers studied: linear cancelation, auto-regressive moving-average (ARMA) based cancelation neural ne...

FinTech companies have emerged as a new force in the financial industry recent years. Their innovative business models, high growth performance, and broad market prospects attracted attention pursuit of numerous investors. Therefore, predicting future trend company stocks is significant for This paper selects PayPal prediction target, collects closing prices from 2018 to 2023, uses Auto-regress...

This article investigates a Cautious Minimum Variance (CMV) control approach for controlling industrial process variability when the model parameters are estimated from data and subject to uncertainty. CMV control has a number of advantages over traditional robust control methods. It incorporates probabilistic, as opposed to deterministic, measures of parameter uncertainty, which are more consi...

The paper presents an analysis of the seasonality of Italian daily electricity prices. Since the correct detection of the nature, stochastic or probabilistic, of the seasonality is crucial in ARIMA modeling, a test that allows such detection is presented. The application of this test to the Italian daily prices in the years 2008-11 has pointed to the presence of deterministic seasonality in the...

This article analyses the school performance of migrants dependent on peer groups in different international schooling environments. Using data from the international OECD PISA test, we consider social interaction within and between groups of natives and migrants. Results based on social multipliers (Glaeser et al. 2000, 2003) suggest that both native-tonative and migrant-to-migrant peer effect...

Hyperbolic systems of conservation laws augumented with an entropy inequality are studied. It is shown that such systems can be written in a (quasilinear) skewselfndjoint form. Centered differencing of such a form under the smooth regime ends up with a systematic recipe for constructing quasiconservative schemes where the global entropy conservation is recovered. Employing the above formulation...

In many scenarios, a contingent data source may benefit by coordinating with external heterogeneous sources upon which it depends. The administrator of this contingent source needs to update it when changes are made to the external base sources. For example, when a building design is updated, the contractor’s cost estimate must be updated, too. The goal of data coordination is to update a conti...