State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques
Forecasting renewable energy efficiency significantly impacts system management and
operation because more precise forecasts mean reduced risk and improved stability and …
operation because more precise forecasts mean reduced risk and improved stability and …
Thermal biology of mosquito‐borne disease
Mosquito‐borne diseases cause a major burden of disease worldwide. The vital rates of
these ectothermic vectors and parasites respond strongly and nonlinearly to temperature …
these ectothermic vectors and parasites respond strongly and nonlinearly to temperature …
Genomics and epidemiology of the P. 1 SARS-CoV-2 lineage in Manaus, Brazil
Cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in
Manaus, Brazil, resurged in late 2020 despite previously high levels of infection. Genome …
Manaus, Brazil, resurged in late 2020 despite previously high levels of infection. Genome …
Ensemble forecasts of coronavirus disease 2019 (COVID-19) in the US
Background The COVID-19 pandemic has driven demand for forecasts to guide policy and
planning. Previous research has suggested that combining forecasts from multiple models …
planning. Previous research has suggested that combining forecasts from multiple models …
An open challenge to advance probabilistic forecasting for dengue epidemics
MA Johansson, KM Apfeldorf, S Dobson… - Proceedings of the …, 2019 - pnas.org
A wide range of research has promised new tools for forecasting infectious disease
dynamics, but little of that research is currently being applied in practice, because tools do …
dynamics, but little of that research is currently being applied in practice, because tools do …
Forecasting the spatial transmission of influenza in the United States
Recurrent outbreaks of seasonal and pandemic influenza create a need for forecasts of the
geographic spread of this pathogen. Although it is well established that the spatial …
geographic spread of this pathogen. Although it is well established that the spatial …
Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the US
Seasonal influenza results in substantial annual morbidity and mortality in the United States
and worldwide. Accurate forecasts of key features of influenza epidemics, such as the timing …
and worldwide. Accurate forecasts of key features of influenza epidemics, such as the timing …
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition
Dengue fever is a virulent disease spreading over 100 tropical and subtropical countries in
Africa, the Americas, and Asia. This arboviral disease affects around 400 million people …
Africa, the Americas, and Asia. This arboviral disease affects around 400 million people …
Prediction of infectious disease epidemics via weighted density ensembles
Accurate and reliable predictions of infectious disease dynamics can be valuable to public
health organizations that plan interventions to decrease or prevent disease transmission. A …
health organizations that plan interventions to decrease or prevent disease transmission. A …
Forecasting dengue epidemics using a hybrid methodology
Dengue case management is an alarmingly important global health issue. The effective
allocation of resources is often difficult due to external and internal factors imposing …
allocation of resources is often difficult due to external and internal factors imposing …