Results 121 to 130 of about 23,659 (294)

Tracking Climate and Environmental Attention: A News‐Based Composite Index

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study introduces the Climate and Environmental Attention Index, a composite indicator that tracks media attention to climate and environmental issues. Based on the Semantic Brand Score, the proposed index extracts significant signals from unstructured text, going beyond traditional measures of word frequency and sentiment.
Gianna Figà‐Talamanca, Andrea Fronzetti Colladon, Barbara Guardabascio, Ludovica Segneri   +3 more
wiley   +1 more source

Latent Vector Autoregressive Modeling: A Stepwise Estimation Approach

Structural Equation Modeling: A Multidisciplinary Journal
Researchers often study dynamic processes of latent variables in everyday life, such as the interplay of positive and negative affect across consecutive time-points. An intuitive approach is to first estimate the measurement model of the latent variables, then compute factor scores, and finally use these scores as observed scores in vector ...
Manuel T. Rein, Jeroen K. Vermunt, Kim De Roover, Leonie V. D. E. Vogelsmeier   +3 more
openaire   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

A Closed‐Loop Human Resource Management Framework for Energy Efficiency: Integrating Predictive Optimization With Behavioral Implementation

Energy Science &Engineering, EarlyView.
The proposed framework operates as a continuous cycle: organizational data streams feed into predictive optimization, which generates energy efficiency targets. These targets are translated into behavioral directives through human resource management mechanisms.
Huang Juan, Aimi Binti Anuar
wiley   +1 more source

Spatio‐Temporal Dual‐Encoder Transformer for Short‐Term Regional Wind Power Forecasting

Energy Science &Engineering, EarlyView.
ST‐DualFormer separates temporal and spatial encoding to model complex dependencies in regional wind power forecasting. The fused dual‐stream representation enables accurate short‐term regional forecasts from multi‐farm meteorological and historical power data. The method achieved 5.25% nMAE and 7.53% nRMSE for three‐day‐ahead forecasting on real‐world
Jianfeng Che, Bo Wang, Keru Chen, Siqi Yan, Fei Qi   +4 more
wiley   +1 more source

Structural Breaks in the Cointegrated Vector Autoregressive Model [PDF]

We generalize the cointegrated vector autoregressive model of Johansen (1988, 1991) to allow for structural breaks. We derive the likelihood ratio test for structural breaks occurring at fixed points in time, and show that it is asymptotically chi ...
Peter Reinhard Hansen
core  

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif, Usama Hassan, Javid Hussain, Irfan Ali Khan, Yuldasheva Gulora, Syed Masood Arif Bukhari   +5 more
wiley   +1 more source

Examining sea levels forecasting using autoregressive and prophet models

Scientific Reports
Global climate change in recent years has resulted in significant changes in sea levels at both global and local scales. Various oceanic and climatic factors play direct and indirect roles in influencing sea level changes, such as temperature, ocean heat,
Leena Elneel, M. Sami Zitouni, Husameldin Mukhtar, Hussain Al-Ahmad   +3 more
doaj   +1 more source

General--to--Specific Reductions of Vector Autoregressive Processes [PDF]

Unrestricted reduced form vector autoregressive (VAR) models have become a dominant research strategy in empirical macroeconomics since Sims (1980) critique of traditional macroeconometric modeling.
Hans-Martin Krolzig
core  

Intraday Functional PCA Forecasting of Cryptocurrency Returns

Journal of Forecasting, EarlyView.
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley   +1 more source