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
A Bayesian approach for the estimation of weight matrices in spatial autoregressive models [PDF]
, 2022 Tamás Krisztin, Philipp Piribauer
openalex +1 more source
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
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
High-dimensional multivariate autoregressive model estimation of human electrophysiological data using fMRI priors. [PDF]
Neuroimage, 2023 Nagle A +7 more
europepmc +1 more source
SETAR (Self-exciting Threshold Autoregressive) Non-linear Currency Modelling in EUR/USD, EUR/TRY and USD/TRY Parities [PDF]
, 2017 Emrah Hanifi Fırat
openalex +1 more source
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
Retracted: Empirical Study on the Relationship between Agricultural Economic Structure Growth and Environmental Pollution Based on Time-Varying Parameter Vector Autoregressive Model. [PDF]
J Environ Public Health, 2023 Environmental And Public Health JO.
europepmc +1 more source
Waves of Uncertainty: Crude Oil Under Geopolitical, Economic, and ESG Turbulence
Energy Science &Engineering, EarlyView.Dynamic copula and wavelet coherence reveal that geopolitical, economic, and sustainability uncertainties significantly shape crude oil price co‐movements. Long‐term coherence, especially post‐2015, highlights the growing role of ESG risks alongside geopolitical shocks and economic crises in global energy risk transmission.
Sana Braiek +3 more
wiley +1 more source