A Comprehensive Analysis of Renewable Energy Based on Integrating Economic Cybernetics and the Autoregressive Distributed Lag Model—The Case of Romania [PDF]
Armenia Androniceanu +3 more
openalex +1 more source
This study investigates ground subsidence during tunnel excavation in karst areas, highlighting the combined effects of karst cave proximity, cave size, and soil spatial variability. Findings suggest that shorter cave distances and larger cave sizes increase subsidence variability, and a modified Peck formula is proposed for more accurate subsidence ...
Zhenghong Su +4 more
wiley +1 more source
Variable Selection of Spatial Logistic Autoregressive Model with Linear Constraints. [PDF]
Song Y, Su Y, Wang Z.
europepmc +1 more source
Contemporaneous threshold autoregressive models: estimation, testing and forecasting [PDF]
This paper proposes a contemporaneous smooth transition threshold autoregressive model (C-STAR) as a modification of the smooth transition threshold autoregressive model surveyed in Teräsvirta (1998), in which the regime weights depend on the ex ante ...
Fabio Spagnolo +2 more
core
Model Vector Autoregressive-Generalized Space Time Autoregressive
ABSTRAK. Data volume kendaraan yang masuk ke Kota Bandungmelalui gerbang tol yang berada di Kota Bandung adalah data runtun waktumultivariate berpola musiman. Untuk memperoleh prediksi volumekendaraan yang masuk melalui gerbang tol dimasa yang akan datangdibutuhkan suatu model peramalan.
Winata, Hilma Mutiara +2 more
openaire +1 more source
Self‐Discontinuity as a Barrier to Identity and Behaviour Change: Evidence From Smoking Cessation
ABSTRACT Extensive research has shown that resistance to behaviour change is often driven by the management of self‐related threats, traditionally conceptualized as threats to self‐esteem. The present research offers a novel perspective by examining behaviour change as a threat to self‐continuity (i.e., the perceived stability of one's self‐image over ...
Jérôme Blondé +1 more
wiley +1 more source
Nonlinear Effects of the LMS Adaptive Predictor for Chirped Input Signals
This paper investigates the nonlinear effects of the Least Mean Square (LMS) adaptive predictor. Traditional analysis of the adaptive filter ignores the statistical dependence among successive tap-input vectors and bounds the performance of the adaptive
Han Jun, Zeidler James R, Ku Walter H
doaj +1 more source
Variants of Chaotic Grey Wolf Heuristic for Robust Identification of Control Autoregressive Model. [PDF]
Mehmood K +4 more
europepmc +1 more source
Forecasting industrial production with linear, nonlinear, and structural change models [PDF]
We compare the forecasting performance of linear autoregressive models, autoregressive models with structural breaks, self-exciting threshold autoregressive models, and Markov switching autoregressive models in terms of point, interval, and density ...
Dijk, D.J.C. van, Siliverstovs, B.
core +1 more source
The proposed study combined the dual attention mechanism with a bidirectional long short‐term memory network (DA‐BiLSTM) for short‐term load forecasting. This technique was tested on two electric load datasets to assess its generalizability. Additionally, the robustness of DA‐BiLSTM was illustrated through comparative analysis with other deep learning ...
Sabiha Rani +7 more
wiley +1 more source

