David Casillas-Pérez

2.0k total citations
59 papers, 1.3k citations indexed

About

David Casillas-Pérez is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Casillas-Pérez has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 20 papers in Artificial Intelligence and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Casillas-Pérez's work include Energy Load and Power Forecasting (25 papers), Solar Radiation and Photovoltaics (16 papers) and Electric Power System Optimization (9 papers). David Casillas-Pérez is often cited by papers focused on Energy Load and Power Forecasting (25 papers), Solar Radiation and Photovoltaics (16 papers) and Electric Power System Optimization (9 papers). David Casillas-Pérez collaborates with scholars based in Spain, Australia and Fiji. David Casillas-Pérez's co-authors include Sancho Salcedo‐Sanz, Ravinesh C. Deo, Sujan Ghimire, Thong Nguyen‐Huy, C. Casanova‐Mateo, Mohanad S. AL‐Musaylh, Binayak Bhandari, Ekta Sharma, Rashid Amin and Elisa Rojas and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Physics Reports and Applied Energy.

In The Last Decade

David Casillas-Pérez

57 papers receiving 1.2k citations

Peers

Countries citing papers authored by David Casillas-Pérez

Since Specialization

Citations

This map shows the geographic impact of David Casillas-Pérez's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Casillas-Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Casillas-Pérez more than expected).

Fields of papers citing papers by David Casillas-Pérez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Casillas-Pérez. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Casillas-Pérez. The network helps show where David Casillas-Pérez may publish in the future.

Co-authorship network of co-authors of David Casillas-Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of David Casillas-Pérez. A scholar is included among the top collaborators of David Casillas-Pérez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Casillas-Pérez. David Casillas-Pérez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction 2025 ·Atmospheric Environment ·Sujan Ghimire, Ravinesh C. Deo, Ningxin Jiang, A. A. Masrur Ahmed, (unknown), David Casillas-Pérez, Sancho Salcedo‐Sanz, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬	2
2	A comparative study of different kinematic wake models within metaheuristics for efficient wind farm layout optimization 2025 ·Results in Engineering ·(unknown), David Casillas-Pérez, L. Cornejo-Bueno, Jorge Pérez‐Aracil, (unknown), Miguel A. López-Carmona, (unknown), Sujan Ghimire, Ravinesh C. Deo, Antonio J. Caamaño, Sancho Salcedo‐Sanz	2
3	Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach 2025 ·Energy and AI ·Sujan Ghimire, Ravinesh C. Deo, Konstantin Hopf, (unknown), David Casillas-Pérez, Andreas Helwig, (unknown), Jorge Pérez‐Aracil, Prabal Datta Barua, Sancho Salcedo‐Sanz	4
4	Electricity demand error corrections with attention bi-directional neural networks 2024 ·Energy ·Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, Sancho Salcedo‐Sanz	15
5	Wavelet-fusion image super-resolution model with deep learning for downscaling remotely-sensed, multi-band spectral albedo imagery 2024 ·Remote Sensing Applications Society and Environment ·(unknown), Ravinesh C. Deo, David Casillas-Pérez, Nawin Raj, Sancho Salcedo‐Sanz	0
6	Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model 2024 ·IEEE Access ·Lionel Joseph, Ravinesh C. Deo, David Casillas-Pérez, Ramendra Prasad, Nawin Raj, Sancho Salcedo‐Sanz	3
7	Half-hourly electricity price prediction with a hybrid convolution neural network-random vector functional link deep learning approach 2024 ·Applied Energy ·Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, Ekta Sharma, Sancho Salcedo‐Sanz, Prabal Datta Barua, U. Rajendra Acharya	16
8	Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model 2024 ·Applied Energy ·Lionel Joseph, Ravinesh C. Deo, David Casillas-Pérez, Ramendra Prasad, Nawin Raj, Sancho Salcedo‐Sanz	29
9	Explainable deeply-fused nets electricity demand prediction model: Factoring climate predictors for accuracy and deeper insights with probabilistic confidence interval and point-based forecasts 2024 ·Applied Energy ·Sujan Ghimire, Mohanad S. AL‐Musaylh, Thong Nguyen‐Huy, Ravinesh C. Deo, U. Rajendra Acharya, David Casillas-Pérez, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Sancho Salcedo‐Sanz	8
10	Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model 2024 ·Engineering Applications of Artificial Intelligence ·Sujan Ghimire, Ravinesh C. Deo, S. Ali Pourmousavi, David Casillas-Pérez, Sancho Salcedo‐Sanz	8
11	Very Short-Term Solar Ultraviolet-A Radiation Forecasting System with Cloud Cover Images and a Bayesian Optimized Interpretable Artificial Intelligence Model 2023 ·SSRN Electronic Journal ·(unknown), Ravinesh C. Deo, Nathan Downs, David Casillas-Pérez, Sancho Salcedo‐Sanz, Alfio V. Parisi	0
12	Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction 2023 ·Computer Methods and Programs in Biomedicine ·(unknown), Ravinesh C. Deo, Sancho Salcedo‐Sanz, Nathan Downs, David Casillas-Pérez, Alfio V. Parisi	13
13	3DFCNN: real-time action recognition using 3D deep neural networks with raw depth information 2022 ·Multimedia Tools and Applications ·(unknown), Sergio Diz, (unknown), Cristina Losada, Marta Marrón-Romera, David Casillas-Pérez, (unknown)	55
14	Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction 2022 ·Measurement ·Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, Sancho Salcedo‐Sanz, Ekta Sharma, Mumtaz Ali	76
15	Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review 2022 ·arXiv (Cornell University) ·Sancho Salcedo‐Sanz, Jorge Pérez‐Aracil, (unknown), Javier Del Ser, David Casillas-Pérez, Christopher Kadow, Dušan Fister, David Barriopedro, Ricardo García‐Herrera, Marcello Restelli, (unknown), Andrea Castelletti	3
16	Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives 2022 ·Applied Soft Computing ·Javier Del Ser, David Casillas-Pérez, L. Cornejo-Bueno, (unknown), J. Sanz, C. Casanova‐Mateo, Sancho Salcedo‐Sanz	40
17	Extended Weighted ABG: A Robust Non-Linear ABG-Based Approach for Optimal Combination of ABG Path-Loss Propagation Models 2022 ·IEEE Access ·David Casillas-Pérez, (unknown), S. Jiménez‐Fernández, A. Portilla-Figueras, Sancho Salcedo‐Sanz	1
18	A Survey on Machine Learning Techniques for Routing Optimization in SDN 2021 ·IEEE Access ·Rashid Amin, Elisa Rojas, (unknown), (unknown), David Casillas-Pérez, (unknown)	87
19	Analysis and Prediction of Dammed Water Level in a Hydropower Reservoir Using Machine Learning and Persistence-Based Techniques 2020 ·Water ·(unknown), David Casillas-Pérez, C. Casanova‐Mateo, (unknown), (unknown), J. Sanz, Pedro Antonio Gutiérrez, Sancho Salcedo‐Sanz	34
20	DPDnet: A robust people detector using deep learning with an overhead depth camera 2019 ·Expert Systems with Applications ·(unknown), (unknown), Cristina Losada, David Casillas-Pérez, Javier Macías-Guarasa, (unknown), Daniel Pizarro	15

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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