Results 141 to 150 of about 283,485 (287)
Bayesian spatio-temporal modelling of child anemia in Ethiopia using conditional autoregressive model. [PDF]
Sci Rep, 2022 Tessema ZT +3 more
europepmc +1 more source
Energy Science &Engineering, EarlyView.ABSTRACT To promote the development of renewable energy, China re‐implemented the Chinese Certified Emission Reduction (CCER) policy in 2023. This study explores certificated CO2 and air pollutants (i.e., NOx, SO2 and particulate matter (PM)) emissions reductions from China's solar thermal power (STP) industry at national scale and conducts the ...
Yun Li +3 more
wiley +1 more source
A log linear Poisson autoregressive model to understand COVID-19 dynamics in Saudi Arabia. [PDF]
Beni Suef Univ J Basic Appl Sci, 2022 Alzahrani SM.
europepmc +1 more source
The Impact of Resource Endowment and Digital Transformation on the Efficiency of Energy Transition
Energy Science &Engineering, EarlyView.Resource endowment has a significant positive direct effect and a stronger spatial spillover effect on ETE, while digital transformation can improve local efficiency but has some negative spillover effects on neighboring regions. ABSTRACT In contemporary society, improving energy transition efficiency (ETE) has become a necessary measure to ensure the ...
Junding Yang +5 more
wiley +1 more source
A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates. [PDF]
J Geogr Syst, 2022 Congdon P.
europepmc +1 more source
Energy Science &Engineering, EarlyView.This study analyzes energy consumption and economic growth across 39 Sub‐Saharan African countries using a PVAR model. Findings reveal that non‐renewable energy and labor force growth stimulate economic growth, while renewable energy does not stimulate economic growth in the short run.
Amadou Cham +4 more
wiley +1 more source
A conditional autoregressive model for genetic association analysis accounting for genetic heterogeneity. [PDF]
Stat Med, 2022 Shen X, Wen Y, Cui Y, Lu Q.
europepmc +1 more source
Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm
Energy Science &Engineering, EarlyView.Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson +3 more
wiley +1 more source
An Integrated Spatial Autoregressive Model for Analyzing and Simulating Urban Spatial Growth in a Garden City, China. [PDF]
Int J Environ Res Public Health, 2022 Qiu B +7 more
europepmc +1 more source
Energy Science &Engineering, EarlyView.An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan +5 more
wiley +1 more source