M
Manuel Herrera
Researcher at University of Cambridge
Publications - 121
Citations - 2646
Manuel Herrera is an academic researcher from University of Cambridge. The author has contributed to research in topics: Computer science & Evolutionary algorithm. The author has an hindex of 21, co-authored 103 publications receiving 1946 citations. Previous affiliations of Manuel Herrera include University of Bath & Vienna University of Technology.
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Predictive models for forecasting hourly urban water demand
TL;DR: This paper describes and compares a series of predictive models for forecasting water demand obtained using time series data from water consumption in an urban area of a city in south-eastern Spain, and proposes a simple model based on the weighted demand profile resulting from the exploratory analysis of the data.
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Survey of computational intelligence as basis to big flood management: challenges, research directions and future work
Farnaz Fotovatikhah,Manuel Herrera,Shahaboddin Shamshirband,Kwok Wing Chau,Sina Ardabili,Md. Jalil Piran +5 more
TL;DR: This paper aims to present a comprehensive survey about the application of CI-based methods in FMSs and identifies and introduces the most promising approaches nowadays with respect to the accuracy and error rate for flood debris forecasting and management.
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A Graph-Theoretic Framework for Assessing the Resilience of Sectorised Water Distribution Networks
TL;DR: In this paper, a graph-theoretic approach for the assessment of resilience for large scale water distribution networks is presented, mainly based on quantifying the redundancy and capacity of all possible routes from demand nodes to their supply sources.
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Hybrid regression model for near real-time urban water demand forecasting
TL;DR: This work proposes applying support vector regression, as one of the currently better machine learning options for short-term water demand forecasting, to build a base prediction, and a Fourier time series process is built to improve the base prediction.
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Battle of the Attack Detection Algorithms: Disclosing Cyber Attacks on Water Distribution Networks
Riccardo Taormina,Stefano Galelli,Nils Ole Tippenhauer,Elad Salomons,Avi Ostfeld,Demetrios G. Eliades,Mohsen Aghashahi,Raanju R. Sundararajan,Mohsen Pourahmadi,M. Katherine Banks,Bruno Melo Brentan,Enrique Campbell,Gustavo Meirelles Lima,Daniel Manzi,David Ayala-Cabrera,Manuel Herrera,Idel Montalvo,Joaquín Izquierdo,Edevar Luvizotto,Sarin E. Chandy,Amin Rasekh,Zachary A. Barker,Bruce Campbell,M. Ehsan Shafiee,Marcio Giacomoni,Nikolaos Gatsis,Ahmad F. Taha,Ahmed A. Abokifa,Kelsey Haddad,Cynthia S. Lo,Pratim Biswas,M. Fayzul K. Pasha,Bijay Kc,Saravanakumar Lakshmanan Somasundaram,Mashor Housh,Ziv Ohar +35 more
TL;DR: The BATtle of the Attack Detection ALgorithms (BATADAL) is the most recent competition on planning and management of water networks undertaken within the Water Distribution Systems Analysis...