Results 61 to 70 of about 6,623 (127)
Wind Energy, Volume 29, Issue 9, September 2026.ABSTRACT Accurate wind speed forecasting is indispensable for the efficient integration of wind power into the electrical grid, optimizing turbine scheduling, and ensuring grid stability. Existing models, such as Long Short‐Term Memory (LSTM) networks, often struggle to capture the highly nonlinear relationships and long‐range dependencies present in ...
Guangjie Liu +3 more
wiley +1 more source
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.AI and Big Data in Consumer Behavior Analysis. ABSTRACT The rapid expansion of digital consumer data has challenged traditional approaches to understanding behavior in digital marketing. Existing reviews often focus on individual methods and give limited guidance on how analytical techniques compare or how they should be selected for specific marketing
Leonidas Theodorakopoulos +1 more
wiley +1 more source
Predicting Malaria Incident Using Hybrid SARIMA-LSTM Model
, 2023 Malaria remains a significant global health concern, particularly in regions with high transmission rates. Accurate and timely prediction of malaria incidence can assist health authorities and policymakers in implementing effective prevention and control
Adeyeye, J. S., Nkemnole, E. B.
core +1 more source
ELECTRICITY DEMAND FORECASTING USING A SARIMAMULTIPLICATIVE SINGLE NEURON HYBRID MODEL
Dyna, 2013 La combinación de modelos SARIMA y redes neuronales son una aproximación común para pronosticar series de tiempo no lineales. Mientras la metodología SARIMA es usada para capturar las componentes lineales en la serie de tiempo, las redes neuronales artifi
JUAN DAVID VELÁSQUEZ HENAO +2 more
doaj
Reservoir Evaporation Trend Analysis and Its Prediction using Time Series [PDF]
علوم و مهندسی آبیاری, 2013 Evaporation is one of the important factors in water loss from dam reservoirs. Therefore, the accurate prediction highly helps the reservoir planning and optimum water usage. In this study, using the recorded pan data the evaporation trend is determinded
Ramin Bahmani +3 more
doaj
Infection and Drug Resistance, 2021 Yuhan Xiao,1,* Yanyan Li,1,* Yuhong Li,2 Chongchong Yu,1 Yichun Bai,1 Lei Wang,3 Yongbin Wang1 1Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, People’s Republic of
Xiao Y +6 more
doaj
Mortality Related to Different Circulatory Diseases Before, During and After the COVID‐19 Pandemic
Clinical Cardiology, Volume 49, Issue 8, August 2026.The COVID‐19 pandemic triggered significant mortality spikes for circulatory diseases (IHD, CVD, HD, and AF) in Veneto between 2020 and 2022. However, by 2023, mortality rates for all conditions realigned with pre‐pandemic historical trends, indicating that the long‐term impact on cardiovascular mortality remained limited. ABSTRACT Background The COVID‐
Giulia Capodaglio +3 more
wiley +1 more source
Comparison of ARIMA and SARIMA for Forecasting Crude Oil Prices
, 2023 Crude oil price fluctuations affect the business cycle due to affecting the ups and downs of the growth of the economy, which one of the indicators of the economic business cycle phenomenon.
Ariyanti, Vika Putri +1 more
core +1 more source
Medical Journal of Australia, Volume 224, Issue 8, August 2026.ABSTRACT Objectives Hypertensive disorders of pregnancy (HDP) are a leading reason for medically indicated preterm birth (PTB), yet their contribution to population‐level PTB trends is poorly understood. We examined temporal trends in PTB overall and HDP‐associated PTB in Victoria over an 11‐year period spanning the COVID‐19 pandemic, and distinguished
Melvin Marzan +4 more
wiley +1 more source
HabitatSmall Medium Enterprise SL (SME SL) has a fluctuating volume of demand for ground coffee and to forecast demand for the following month, they only use the owner's intuition, so they cannot ensure the availability of product stocks precisely.
Annisa Zahara Lutfi +4 more
doaj +1 more source