A5060780612- Energy Load and Power Forecasting
- Metaheuristic Optimization Algorithms Research
- Solar Radiation and Photovoltaics
- Meteorological Phenomena and Simulations
- Wind Energy Research and Development
- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- Smart Grid Energy Management
- Electric Power System Optimization
- Hydrological Forecasting Using AI
- Wireless Communication Networks Research
- Machine Learning and ELM
- Advanced MIMO Systems Optimization
- Wind and Air Flow Studies
- Neural Networks and Applications
- Air Quality Monitoring and Forecasting
- Advanced Wireless Network Optimization
- Microgrid Control and Optimization
- Climate variability and models
- Vehicle Routing Optimization Methods
- Optimization and Packing Problems
- Complex Network Analysis Techniques
- Advanced Manufacturing and Logistics Optimization
- Optimal Power Flow Distribution
- Photovoltaic System Optimization Techniques
University of Southern Queensland
2022-2025
Universidad de Alcalá
2016-2025
Universidad de Cádiz
2016
Universidad de Granada
2013
Universidad Complutense de Madrid
2010
University of Sheffield
2010
University of Rome Tor Vergata
2008
University of Birmingham
2004-2006
Universidad Carlos III de Madrid
2002-2005
This paper provides an overview of the support vector machine ( SVM ) methodology and its applicability to real‐world engineering problems. Specifically, aim this study is review current state technique, show some latest successful results in problems present different fields. The starts by reviewing main basic concepts SVMs kernel methods. Kernel theory, , regression SVR ), signal processing hybridization with meta‐heuristics are fully described first part paper. adoption nowadays a fact....
Abstract Heat waves (HWs) can cause large socioeconomic and environmental impacts. The observed increases in their frequency, intensity duration are projected to continue with global warming. This review synthesizes the state of knowledge scientific challenges. It discusses different aspects related definition, triggering mechanisms, changes future projections HWs, as well emerging research lines on subseasonal forecasts specific types HWs. We also identify gaps that limit progress delineate...
Predicting electricity demand data is considered an essential task in decisions taking, and establishing new infrastructure the power generation network. To deliver a high-quality prediction, this paper proposes hybrid combination technique, based on deep learning model of Convolutional Neural Networks Echo State Networks, named as CESN. Daily from four sites (Roderick, Rocklea, Hemmant Carpendale), located Southeast Queensland, Australia, have been used to develop proposed prediction model....
This paper presents a novel bioinspired algorithm to tackle complex optimization problems: the coral reefs (CRO) algorithm. The CRO artificially simulates reef, where different corals (namely, solutions problem considered) grow and reproduce in colonies, fighting by choking out other for space reef. fight space, along with specific characteristics of corals' reproduction, produces robust metaheuristic shown be powerful solving hard problems. In this research is tested several continuous...