Autor: Poma Porras, Orlando Alan
- Neural Network Model with Time Series for the Prediction of the Electric Field in the East Lima Zone, Peru
- Machine Learning with Meteorological Variables for the Prediction of the Electric Field in East Lima, Peru
- Fuzzy Model with Meteorological Variables for the Determination of the THSW Index and the Electric Field in the Area of East Lima, Peru
Autor: Soria Quijaite, Juan Jesus
- Neural Network Model with Time Series for the Prediction of the Electric Field in the East Lima Zone, Peru
- Machine Learning with Meteorological Variables for the Prediction of the Electric Field in East Lima, Peru
- Fuzzy Model with Meteorological Variables for the Determination of the THSW Index and the Electric Field in the Area of East Lima, Peru
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- Fuzzy Model with Meteorological Variables for the Determination of the THSW Index and the Electric Field in the Area of East Lima, Peru
- Artificial Neural Networks for the Prediction of Mechanical Properties of Soils
- Statistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial Sector
- Analysis and forecasting of electricity prices using an improved time series ensemble approach: an application to the Peruvian electricity market
- Stacking Ensemble Learning with Geomagnetic and Meteorological Features for Atmospheric Electric Field Forecasting
Ejemplares similares: Machine Learning with Meteorological Variables for the Prediction of the Electric Field in East Lima, Peru
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- Neural Network Model with Time Series for the Prediction of the Electric Field in the East Lima Zone, Peru
- Stacking Ensemble Learning with Geomagnetic and Meteorological Features for Atmospheric Electric Field Forecasting
- Predictive Model with Machine Learning for Environmental Variables and PM2.5 in Huachac, Junín, Perú
- Multiple Linear Regression Model of Environmental Variables, Predictors of Global Solar Radiation in the Area of East Lima, Peru
- Observations of electric fields during two partial solar eclipses at the geomagnetic equator