Electricity price forecasting with ensemble meta-models and SHAP explainers: a PCA-driven approach. [PDF]
Hayati A, Gharehveran SS, Shirini K.
europepmc +1 more source
Stacking‐Engineered Magnonic Topology and Transport in Honeycomb Homobilayers
ABSTRACT Topological magnons have emerged as a promising platform for dissipationless bosonic transport. However, a straightforward and effective strategy to engineer such topological states in real materials has yet to be fully realized. Here, a general scheme for controlling magnonic topological states via stacking engineering in van der Waals ...
Xiaoran Feng +6 more
wiley +1 more source
Cost-effective and sustainable operation of microgrids using Improved Whale Optimization Algorithm. [PDF]
El-Zaher SM +5 more
europepmc +1 more source
Intelligent demand-side energy management via optimized ANFIS-gene expression programming in hybrid renewable-grid systems. [PDF]
Elboughdiri N +5 more
europepmc +1 more source
Integrating data-driven and physics-based approaches for robust wind power prediction: A comprehensive ML-PINN-Simulink framework. [PDF]
A RT, Chinnappan CC.
europepmc +1 more source
Multi-agent coordination and uncertainty adaptation in deep learning-assisted hierarchical optimization for renewable-dominated distribution networks. [PDF]
Zheng Y +7 more
europepmc +1 more source
Predicting Extreme Environmental Values with Hybrid Models: A Perspective Across Air Quality, Wind Energy, and Sensor Networks. [PDF]
Efthimiou G.
europepmc +1 more source
Short-term and long-term solar irradiance forecasting with advanced machine learning techniques in Zafarana, Egypt. [PDF]
Taha A, Makeen P, Nazih N.
europepmc +1 more source
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The National Center for Atmospheric Research (NCAR) has configured a Wind Power Forecasting System for Xcel Energy that integrates high resolution and ensemble modeling with artificial intelligence methods. This state-of-the-science forecasting system includes specific technologies for short-term detection of wind power ramps, including a Variational ...
Sue Ellen Haupt +2 more
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Forecasting wind power ramps with prediction coordinates
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2021To the best of our knowledge, the method of prediction coordinates is the only forecasting method in nonlinear time series analysis that explicitly uses the stochastic characteristics of a system with dynamical noise. Specifically, it generates multiple predictions to jointly infer the current states and dynamical noises.
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