6 Artículos

Machine Learning Models and Intra-Daily Market Information for the Prediction of Italian Electricity Prices

Acceso

en línea

Silvia Golia, Luigi Grossi and Matteo Pelagatti

In this paper we assess how intra-day electricity prices can improve the prediction of zonal day-ahead wholesale electricity prices in Italy. We consider linear autoregressive models with exogenous variables (ARX) with and without interactions among pred... ver más

Revista: Forecasting Formato: Electrónico

Tabla de contenido: Vol: 5 Num: 0 Par: 1 Año: 2023

Estimation of Surface Soil Moisture in Irrigated Lands by Assimilation of Landsat Vegetation Indices, Surface Energy Balance Products, and Relevance Vector Machines

Acceso

en línea

Alfonso F. Torres-Rua, Andres M. Ticlavilca, Roula Bachour, Mac McKee Pág. 1 - 22

Spatial surface soil moisture can be an important indicator of crop conditions on farmland, but its continuous estimation remains challenging due to coarse spatial and temporal resolution of existing remotely-sensed products. Furthermore, while preceding... ver más

Revista: Water Formato: Electrónico

Tabla de contenido: Vol: 8 Num: 4 Par: 0 Año: 2016

Landslide Susceptibility Mapping Based on Particle Swarm Optimization of Multiple Kernel Relevance Vector Machines: Case of a Low Hill Area in Sichuan Province, China

Acceso

en línea

Yongliang Lin, Kewen Xia, Xiaoqing Jiang, Jianchuan Bai and Panpan Wu

Revista: ISPRS International Journal of Geo-Information Formato: Electrónico

Tabla de contenido: Vol: 5 Num: 10 Par: October Año: 2016

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