Diego Prieto Herráez

Profesor

Universidad Católica de Ávila

Spain

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About

Diego Prieto Herráez is a Profesor at Universidad Católica de Ávila in Spain. His research areas include nitrogen treatment processes, wind energy forecasting, and fire spread modeling. He has contributed to various studies involving the performance evaluation of environmental systems and advanced analytical methods for wildfire simulations. Recent publications include works on the EOLO wind-predictor model and methodologies for analyzing fuel type mapping through satellite imagery.

Articles (12)

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2025

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2021

Year:

2021

Collaborators (7)

Isabel Asensio

Universidad de Salamanca

SPAIN

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Miguel Ángel Maté-González

Assistant Professor (Profesor Ayudante Doctor)

Universidad Politécnica de Madrid

SPAIN

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Isabel Barja

Universidad Autónoma de Madrid

SPAIN

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Luis Ferragut

Universidad de Salamanca

SPAIN

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Diego Gonzalez-Aguilera

Universidad de Salamanca

SPAIN

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Francisco José San José Barrero

Professor

Universidad Católica de Ávila

SPAIN

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Lucía Cobo-Sánchez

PORTUGAL

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Diego Prieto Herráez

Research Interests

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About

Articles (12)

Evaluation of the Performance of a Nitrogen Treatment Plant in a Continental Mediterranean Climate: A Spanish Pig Farm Case Study

EOLO, a wind energy forecaster based on public information and automatic learning for the Spanish Electricity Markets

Validating the effect of fuel moisture content by a multivalued operator in a simplified physical fire spread model

An Historical Review of the Simplified Physical Fire Spread Model PhyFire: Model and Numerical Methods

An Historical Review of the Simplified Physical Fire Spread Model PhyFire: Model and Numerical Methods

Analysis of the Suitability of the EOLO Wind-Predictor Model for the Spanish Electricity Markets

Analysis of the Suitability of the EOLO Wind-Predictor Model for the Spanish Electricity Markets

Ikhnos: A Novel Software to Register and Analyze Bone Surface Modifications Based on Three-Dimensional Documentation

High Resolution Fuel Type Mapping through Satellite Imagery and Neural Networks for Wildfire Simulations: A Case Study in Spain

A high-resolution fuel type mapping procedure based on satellite imagery and neural networks: Updating fuel maps for wildfire simulators

A 3D taphonomic model of long bone modification by lions in medium-sized ungulate carcasses

Local wind speed forecasting based on WRF-HDWind coupling

Collaborators (7)

Isabel Asensio

Miguel Ángel Maté-González

Isabel Barja

Luis Ferragut

Diego Gonzalez-Aguilera

Francisco José San José Barrero

Lucía Cobo-Sánchez

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