Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference

1. Auflage 2019
ISBN: 978-3-319-99607-3
Verlag: Springer International Publishing

Buch, Englisch, Band 801, 473 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 774 g

Reihe: Advances in Intelligent Systems and Computing

This book presents the outcomes of the 15th International Conference on Distributed Computing and Artificial Intelligence, held in Toledo (Spain) from 20th to 22nd June 2018 and hosted by the UCLM, and which brought together researchers and developers from industry, education and the academic world to report on the latest scientific research, technical advances and methodologies. Highlighting multi-disciplinary and transversal aspects, the book focuses on the conferences Special Sessions, including Advances in Demand Response and Renewable Energy Sources in Smart Grids (ADRESS); AI- Driven Methods for Multimodal Networks and Processes Modeling (AIMPM); Social Modelling of Ambient Intelligence in Large Facilities (SMAILF); Communications, Electronics and Signal Processing (CESP); Complexity in Natural and Formal Languages (CNFL); and Web and Social Media Mining (WASMM).

Zielgruppe

Research

Autoren/Hrsg.

Rodríguez, Sara

Prieto, Javier

Faria, Pedro

K¿os, S¿awomir

Klos, Slawomir

Navarro, Elena M.

Fernández, Alberto

Mazuelas, Santiago

Jiménez-López, M. Dolores

Moreno, María N.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Verteilte Systeme (Netzwerke)

Inhaltsverzeichnis

Special Session on Advances on Demand Response and RenewableEnergy Sources in Smart Grids.- UCB1 Based Reinforcement Learning Model for Adaptive Energy Management in Buildings .- Electricity Price Forecast for Futures Contracts with Arti?cial Neural Network and Spearman Data Correlation.- Demand Response Implementation in an Optimization Based SCADA Model Under Real-Time Pricing Schemes.- Special Session on AI–Driven Methods for Multimodal Networks and Processes Modeling (AIMPM).- Food Supply Chain Optimization – A Hybrid Approach.