Energy modeling and forecasting are key to providing insightful energy-related policy decisions that could propel positive economic growth and sustainable development.In this study, the Non-Linear Autoregressive Exogenous Neural Networks (NARX) and Multiple Non-Linear Regression (MNLR) models were employed for modeling the final energy demand per c
Caring for Strangers
Caring for Strangers (2017) takes the reader on an interesting journey to stickers logos dallas cowboys the everyday lives of Filipino migrant nurse workers placed in Singapore.It does so focusing on the narratives and the frequent encounters that anthropologist Megha Amrith had over her fieldwork time in Singapore.The result is a rich compilation
About green political parties
In this work the author refers to some legal and political questions in connection with green political parties.Those questions cover: the ideology of green cashel tail bag political parties, their number and influence, both in general and in Serbia.The first part of work is generally speaking about political parties - their definition, ideology, r
A Wind Power Forecasting Model Using LSTM Optimized by the Modified Bald Eagle Search Algorithm
High-precision forecasting of short-term wind power (WP) is integral for wind farms, the safe dispatch of power systems, and the stable operation of the power grid.Currently, the data related to the operation and maintenance of wind farms mainly comes from iphone 13 pro max price florida the Supervisory Control and Data Acquisition (SCADA) systems,
Current State and Challenges in Developing Respiratory Syncytial Virus Vaccines
Respiratory syncytial virus (RSV) is the main cause of acute respiratory tract infections in infants and it also induces significant disease in the elderly.The clinical course may be severe, especially in high-risk populations (infants and elderly), with a large number of deaths in developing countries and of intensive care hospitalizations worldwi