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Data Science for Water Utilities

Data Science for Water Utilities
Author: Peter Prevos
Publisher: CRC Press
Total Pages: 212
Release: 2023-05-10
Genre: Computers
ISBN: 100085647X

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This addition to the Data Science Series introduces the principles of data science and the R language to the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the author’s extensive experience. Data Science for Water Utilities: Data as a Source of Value is an applied, practical guide that shows water professionals how to use data science to solve urban water management problems. Content develops through four case studies. The first looks at analysing water quality to ensure public health. The second considers customer feedback. The third case study introduces smart meter data. The guide flows easily from basic principles through code that, with each case study, increases in complexity. The last case study analyses data using basic machine learning. Readers will be familiar with analysing data but do not need coding experience to use this book. The title will be essential reading for anyone seeking a practical introduction to data science and creating value with R.


Smart Water Utilities

Smart Water Utilities
Author: Pernille Ingildsen
Publisher: IWA Publishing
Total Pages: 307
Release: 2016-05-15
Genre: Science
ISBN: 1780407572

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Today there is increasing pressure on the water infrastructure and although unsustainable water extraction and wastewater handling can continue for a while, at some point water needs to be managed in a way that is sustainable in the long-term. We need to handle water utilities “smarter”. New and effective tools and technologies are becoming available at an affordable cost and these technologies are steadily changing water infrastructure options. The quality and robustness of sensors are increasing rapidly and their reliability makes the automatic handling of critical processes viable. Online and real-time control means safer and more effective operation. The combination of better sensors and new water treatment technologies is a strong enabler for decentralised and diversified water treatment. Plants can be run with a minimum of personnel attendance. In the future, thousands of sensors in the water utility cycle will handle all the complexity in an effective way. Smart Water Utilities: Complexity Made Simple provides a framework for Smart Water Utilities based on an M-A-D (Measurement-Analysis-Decision). This enables the organisation and implementation of “Smart” in a water utility by providing an overview of supporting technologies and methods. The book presents an introduction to methods and tools, providing a perspective of what can and could be achieved. It provides a toolbox for all water challenges and is essential reading for the Water Utility Manager, Engineer and Director and for Consultants, Designers and Researchers.


ICT for Smart Water Systems: Measurements and Data Science

ICT for Smart Water Systems: Measurements and Data Science
Author: Andrea Scozzari
Publisher: Springer Nature
Total Pages: 342
Release: 2020-11-28
Genre: Technology & Engineering
ISBN: 3030619737

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Today, Information and Communication Technologies (ICT) have a pervasive presence in almost every aspect of the management of water. There is no question that the collection of big data from sensing and the insights gained by smart analytics can bring massive benefits. This book focuses on new perspectives for the monitoring, assessment and control of water systems, based on tools and concepts originating from the ICT sector. It presents a portrait of up-to-date sensing techniques for water, and introduces concepts and implications with the analysis of the acquired data. Particular attention is given to the advancements in developing novel devices and data processing approaches. The chapters guide the reader through multiple disciplinary contexts, without aiming to be exhaustive, but with the effort to present relevant topics in such a highly multi-disciplinary framework. This book will be of interest to advanced students, researchers and stakeholders at various levels.


Principles of Strategic Data Science

Principles of Strategic Data Science
Author: Dr Peter Prevos
Publisher: Packt Publishing Ltd
Total Pages: 104
Release: 2019-06-03
Genre: Computers
ISBN: 1838985506

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Take the strategic and systematic approach to analyze data to solve business problems Key FeaturesGain detailed information about the theory of data scienceAugment your coding knowledge with practical data science techniques for efficient data analysis Learn practical ways to strategically and systematically use dataBook Description Principles of Strategic Data Science is created to help you join the dots between mathematics, programming, and business analysis. With a unique approach that bridges the gap between mathematics and computer science, this book takes you through the entire data science pipeline. The book begins by explaining what data science is and how organizations can use it to revolutionize the way they use their data. It then discusses the criteria for the soundness of data products and how to best visualize information. As you progress, you’ll discover the strategic aspects of data science by learning the five-phase framework that enables you to enhance the value you extract from data. The final chapter of the book discusses the role of a data science manager in helping an organization take the data-driven approach. By the end of this book, you’ll have a good understanding of data science and how it can enable you to extract value from your data. What you will learnGet familiar with the five most important steps of data scienceUse the Conway diagram to visualize the technical skills of the data science teamUnderstand the limitations of data science from a mathematical and ethical perspectiveGet a quick overview of machine learningGain insight into the purpose of using data science in your workUnderstand the role of data science managers and their expectationsWho this book is for This book is ideal for data scientists and data analysts who are looking for a practical guide to strategically and systematically use data. This book is also useful for those who want to understand in detail what is data science and how can an organization take the data-driven approach. Prior programming knowledge of Python and R is assumed.


Data Science for Civil Engineering

Data Science for Civil Engineering
Author: Rakesh K. Jain
Publisher: CRC Press
Total Pages: 251
Release: 2023-05-10
Genre: Computers
ISBN: 1000873463

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This book explains use of data science-based techniques for modeling and providing optimal solutions to complex problems in civil engineering. It discusses civil engineering problems like air, water and land pollution, climate crisis, transportation infrastructures, traffic and travel modes, mobility services, and so forth. Divided into two sections, the first one deals with the basics of data science and essential mathematics while the second section covers pertinent applications in structural and environmental engineering, construction management, and transportation. Features: Details information on essential mathematics required to implement civil engineering applications using data science techniques. Discusses broad background of data science and its fundamentals. Focusses on structural engineering, transportation systems, water resource management, geomatics, and environmental engineering. Includes python programming libraries to solve complex problems. Addresses various real-world applications of data science based civil engineering use cases. This book aims at senior undergraduate students in Civil Engineering and Applied Data Science.


Public Private Partnerships for Urban Water Utilities

Public Private Partnerships for Urban Water Utilities
Author: Philippe Marin
Publisher: World Bank Publications
Total Pages: 212
Release: 2009-09-22
Genre: Technology & Engineering
ISBN: 0821379577

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'Public-Private Partnerships for Urban Water Utilities: A Review of Experiences in Developing Countries' analyzes the market growth of Public-Private Partnerships (PPPs) in the developing world since 1990, and the performance of more than 65 large water PPP projects representing more than 100 million people for access, service quality, operational efficiency, and tariff levels. Although a relatively small portion of the water utilities in the developing world are operated under PPPs (about 7 percent in 2007), the urban population served by private water operators has grown every year since 1990. Despite many difficulties encountered by PPP projects and a few contract terminations, a large majority of contracts awarded since 1990 are still in place. The track record for improving service and efficiency reaffirms the value of PPPs to help turn around poorly performing water utilities, even though the level of private financing did not match initial expectations. Over time, a more realistic market has developed, the number of private investors from developing countries has grown, and contract designs have become more pragmatic concerning risk allocations between partners. The water sector has many features that set it apart from other infrastructure sectors. This book suggests the need for careful consideration of those specificities to successfully involve private operators. Although concessions with private financing have worked in a few places, contractual arrangements that combine private operation with public financing appear to be the most sustainable option in many countries. Policy makers, stakeholders, and donors need to remain heavily engaged in the water sector, especially in the poorest countries and during a global financial crisis. This book contributes to a better understanding of the various options to tackle the many challenges of providing water and sanitation services to urban populations in the developing world.


Water Utility Benchmarking

Water Utility Benchmarking
Author: Sanford Berg
Publisher: IWA Publishing
Total Pages: 185
Release: 2010-03-31
Genre: Science
ISBN: 1843392720

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Benchmarking is essential for those developing and implementing water policy. If decision-makers do not know where they have been or where they are, it would seem to be impossible to set reasonable targets for future performance. Information on water/sewerage system (WSS) operations, investments, and outputs is essential for good management and oversight. This book is designed to help decision makers identify the data required for performance comparisons over time and across water utilities, to understand the strengths and limitations of alternative benchmarking methodologies, and to perform (or commission) benchmark studies. This book provides an overview of the strengths and limitations of different methodologies for making performance comparisons over time and across water utilities (metric benchmarking). In addition, it identifies ways to determine the robustness of performance rankings. Current benchmarking activities in Latin America, Asia, Africa, Central Europe/Asia, and OECD nations are summarized. Five basic approaches to benchmarking characterize current studies: Core indicators and a summary or overall performance Indicator (partial metric method), Performance scores based on production or cost estimates (“total” methods), Performance relative to a model company (engineering approach), Process benchmarking, and Customer survey benchmarking. This volume is of interest to the water professionals, water utility managers and senior staff of regulatory agencies, professionals in related government agencies, and consultants. Visit the IWA WaterWiki to read and share material related to this title: http://www.iwawaterwiki.org/xwiki/bin/view/Articles/InfrastructureRegulationStateOwnedEnterprisesVsInvestor-ownedInfrastructureOperators


Smart Water Utilities

Smart Water Utilities
Author: Pernille Ingildsen
Publisher: IWA Publishing (International Water Assoc)
Total Pages: 300
Release: 2016-03-15
Genre: Business & Economics
ISBN: 9781780407586

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Today, there is increasing pressure on the water infrastructure and although unsustainable water extraction and wastewater handling can continue for a while, at some point water needs to be managed in a way that is sustainable in the long-term. We need to handle water utilities "smarter". New and effective tools and technologies are becoming available at an affordable cost and these technologies are steadily changing water infrastructure options. The quality and robustness of sensors are increasing rapidly and their reliability makes the automatic handling of critical processes viable. Online and real-time control means safer and more effective operation. The combination of better sensors and new water treatment technologies is a strong enabler for decentralised and diversified water treatment. Plants can be run with a minimum of personnel attendance. In the future, thousands of sensors in the water utility cycle will handle all the complexity in an effective way. Smart Water Utilities: Complexity Made Simple provides a framework for Smart Water Utilities based on a M-A-D (Measurement-Analysis-Decision). This enables the organisation and implementation of "Smart" in a water utility by providing an overview of supporting technologies and methods. The book presents a an introduction to methods and tools, providing a perspective of what can and could be achieved. It provides a toolbox for all water challenges and is essential reading for the Water Utility Manager, Engineer and Director and for Consultants, Designers and Researchers. Authors: Pernille Ingildsen, Chief of Plan and Project at Kalundborg utility, Denmark and Gustaf Olsson, Professor Em. in Industrial Automation, Lund University, Sweden


Recent Developments in Statistics and Data Science

Recent Developments in Statistics and Data Science
Author: Regina Bispo
Publisher: Springer Nature
Total Pages: 364
Release: 2022-11-28
Genre: Mathematics
ISBN: 3031127668

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This volume presents a collection of twenty-five peer-reviewed articles carefully selected from the contributions presented at the XXV Congress of the Portuguese Statistical Society (2021). Containing state-of-the-art developments in theoretical and applied statistics, the book will be accessible to readers with a background in mathematics and statistics, but will also be of interest to researchers from other scientific disciplines (e.g., biology, economics, medicine), who will find a broad range of relevant applications.