Results 121 to 130 of about 72,436 (339)
A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants
Energy Science &Engineering, EarlyView.A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei +2 more
wiley +1 more source
An Autoregressive Integrated Moving Average Model for Predicting Varicella Outbreaks - China, 2019. [PDF]
China CDC Wkly, 2023 Wang M +7 more
europepmc +1 more source
MODEL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) UNTUK MERAMALKAN INFLASI INDONESIA
, 2023 Yonlib Weldri Arnold Nanlohy +1 more
openalex +2 more sources
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Energy Science &Engineering, EarlyView.Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source
A Test for the Difference Parameter of the ARFIMA Model Using the Moving Blocks Bootstrap. [PDF]
In this paper we construct a test for the difference parameter d in the fractionally integrated autoregressive moving-average (ARFIMA) model. Obtaining estimates by smoothed spectral regression estimation method, we use the moving blocks bootstrap method
Maharaj, E.A.
core
Energy Science &Engineering, EarlyView.The wind energy potential of Khaf was evaluated for 2025 using 15 years of wind data combined with advanced forecasting models, SARIMAX and Prophet. This integrated framework enables precise estimation of wind power density and optimal turbine selection, paving the way for the efficient and sustainable development of wind farms in the region.
Mohammad Amin Valizadeh +3 more
wiley +1 more source
Matrix: Jurnal Manajemen Teknologi dan Informatika, 2016 Ramalan jumlah kunjungan wisatawan yang datang ke dalam suatu daerah tujuan wisata sangat diperlukan oleh pelaku bisnis wisata untuk perencanaan bisnis mereka.
Tri Tanami Sukraini
doaj
Forecasting airport passenger traffic: the case of Hong Kong International Airport [PDF]
, 2011 Hong Kong International Airport is one of the main gateways to Mainland China and the major aviation hub in Asia. An accurate airport traffic demand forecast allows for short and long-term planning and decision making regarding airport facilities and ...
Balli, Hatice Ozer +2 more
core
Energy Science &Engineering, EarlyView.Forecasts peak electricity demand in Jordan for grid expansion over the next decade. Introduces a comparative method combining ARIMA, ARIMA‐X, and regression models. Projections show a 41% peak load increase by 2035, reaching around 5300 MW. The findings support capacity planning, pricing strategies, and network expansion.
Rafat Aljarrah +5 more
wiley +1 more source