Submission Deadline: 30 September 2022
Prof. Mario J. Pérez Jiménez, University of Seville, Spain
Prof. Sun-Yuan Kung, Princeton University, USA
Bio-inspired computer modelling researches computerised solutions (such as data structures, algorithms, computation or visualisation operations with data, ways to control cyber physical operations, topological structures, decision support systems, multisource data communication and analysis, et al.) from the living phenomena or biological systems (such as cells, tissues, the brain, neural network, immune system, ant colony, genetic evolution, human and organisational behaviour, crowd, swarm, social network, frog, et al.). The areas of bio-inspired computer modelling include Neural Networks, Brain-inspired Computing, Neuromorphic Computing and Architectures, Cellular Automata and Cellular Neural Networks, Evolutionary Algorithms, Swarm Intelligence, Logics and Symbolic Systems, DNA and Molecular Computing, Membrane Computing, Artificial Intelligence, Machine Learning, Deep Learning. There are relevant potential applications in engineering and sciences, such as computer vision for medical engineering, pattern recognition in medicine, decision support in cybernetics, intelligent building, intelligent transportation, smart city, etc.
This special issue aims to attract latest research results and the latest solutions for bio-inspired computer modelling. Both theory focused and application driven studies are welcome, especially papers with good technical depth or with emerging applications in engineering and sciences.
Potential topics include, but are not limited to the following:
- Neural Networks
- Neuromorphic Computing and Architectures
- Evolutionary Computing
- DNA and Molecular Computing
- Membrane Computing
- Cellular Automata and Cellular Neural Networks
- Swarm Intelligence
- Crowd Sourcing
- Artificial Immune System
- Frog Algorithm
- OPEN ACCESS ARTICLE
- Bio-Inspired Optimal Dispatching of Wind Power Consumption Considering Multi-Time Scale Demand Response and High-Energy Load Participation
- CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2022.021783
- (This article belongs to this Special Issue: Bio-inspired Computer Modelling: Theories and Applications in Engineering and Sciences)
- Abstract Bio-inspired computer modelling brings solutions from the living phenomena or biological systems to engineering domains. To overcome the obstruction problem of large-scale wind power consumption in Northwest China, this paper constructs a bio-inspired computer model. It is an optimal wind power consumption dispatching model of multi-time scale demand response that takes into account the involved high-energy load. First, the principle of wind power obstruction with the involvement of a high-energy load is examined in this work. In this step, highenergy load model with different regulation characteristics is established. Then, considering the multi-time scale characteristics of high-energy load and other demand-side… More
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