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David Casillas-Pérez

Assistant professor

Universidad Rey Juan Carlos - Campus de Fuenlabrada

Spain

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Research Interests

Energy Engineering

70%

Climatology

50%

Energy Forecasting

50%

Demand Response

50%

Deep Learning

40%

Forecasting

30%

Energy Economics

30%

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Articles23

Novel deep hybrid model for electricity price prediction based on dual decomposition

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Year:

2025

Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach

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Year:

2025

Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction

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Year:

2025

Electricity demand uncertainty modeling with Temporal Convolution Neural Network models

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Year:

2025

Generating High Spatial and Temporal Surface Albedo with Multispectral-Wavemix and Temporal-Shift Heatmaps

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Year:

2025

Very short-term solar ultraviolet-A radiation forecasting system with cloud cover images and a Bayesian optimized interpretable artificial intelligence model

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Year:

2024

Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model

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Year:

2024

Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model

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Year:

2024

Half-hourly electricity price prediction with a hybrid convolution neural network-random vector functional link deep learning approach

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Year:

2024

Wavelet-fusion image super-resolution model with deep learning for downscaling remotely-sensed, multi-band spectral albedo imagery

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Year:

2024

Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model

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2024

A multi-algorithm approach for operational human resources workload balancing in a last mile urban delivery system

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Year:

2024

Electricity demand error corrections with attention bi-directional neural networks

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Year:

2024

Two-step deep learning framework with error compensation technique for short-term, half-hourly electricity price forecasting

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Year:

2024

Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression

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Year:

2023

Inertial Sensors for Human Motion Analysis: A Comprehensive Review

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Year:

2023

Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction

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Year:

2023

A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction

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Year:

2023

Collaboration and competition spatial complex networks in regional science

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Year:

2023

Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction

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Year:

2023

A Flexible Architecture Using Temporal, Spatial and Semantic Correlation-Based Algorithms for Story Segmentation of Broadcast News

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Year:

2023

Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images

Article Link

Year:

2023

Deep Shape-from-Template: Single-image quasi-isometric deformable registration and reconstruction

Article Link

Year:

2022

Collaborators9

Sancho Salcedo-Sanz

University of Southern Queensland

AUSTRALIA

Thong Nguyen-Huy

University of Southern Queensland

AUSTRALIA

Seyyed Ali Pourmousavi Kani

Senior Lecturer

University of Adelaide

AUSTRALIA

J. Antonio Portilla-Figueras

Full Professor

Universidad de Alcalá

SPAIN

Juan Jesús García Domínguez

Professor

Universidad de Alcalá

SPAIN

Toan Dinh

University of Southern Queensland

AUSTRALIA

Ravinesh Deo

Professor

University of Southern Queensland

AUSTRALIA

Ana Jiménez Martín

Titular de Universidad / Associate Professor

Universidad de Alcalá

SPAIN

Sara García de Villa

Assistant Professor

Universidad Rey Juan Carlos

SPAIN

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