SHORT-TERM FORECASTING OF ELECTRIC LOADS USING NONLINEAR AUTOREGRESSIVE ARTIFICIAL NEURAL NETWORKS WITH EXOGENOUS VECTOR INPUTS

Short-Term Forecasting of Electric Loads Using Nonlinear Autoregressive Artificial Neural Networks with Exogenous Vector Inputs

Short-term load forecasting is crucial for the operations planning of an electrical grid.Forecasting the next 24 h of electrical load in a grid allows operators to plan and optimize their resources.The purpose of this study is to develop a more accurate short-term load forecasting method utilizing non-linear autoregressive artificial neural network

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Debating Phenomenological Research Methods

Phenomenological researchers generally Trail Hat agree that our central concern is to return to embodied, experiential meanings aiming for a fresh, complex, rich description of a phenomenon as it is concretely lived.Yet debates abound when it comes to deciding how best to carry out this phenomenological research in practice.Confusion about how to c

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Anxiety level in preschool biligual children (research report)

In the modern era, interest in the problem of bilingualism has become increasingly intense.People of various nationalities, as well as voluntary or forced immigrants, have always lived in Dolls House Toys monolingual states.Once children and their parents find themselves in a foreign language setting, the issue of learning a second language arises.

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