Smart Cities, Smart Grids, and Smart Grid Analytics

2022 ◽  
pp. 50-76
Author(s):  
Shaun Joseph Smyth ◽  
Kevin Curran ◽  
Nigel McKelvey

The introduction of the 21st century has experienced a growing trend in the number of people who choose to live within a city. Rapid urbanisation however, comes a variety of issues which are technical, social, physical and organisational in nature because of the complex gathering of large population numbers in such a spatially limited area. This rapid growth in population presents new challenges for the already stretched city services and infrastructure as they are faced with the problems of finding smarter methods to deal with issues including: traffic congestion, waste management and increased energy usage. This chapter examines the phenomenon of smart cities, their many definitions, their ability to alleviate the discomforts cities suffer due to rapid urbanisation and ultimately offer an improved and more sustainable lives for the city's citizens. This chapter also highlights the benefits of smart grids, their bi-directional real-time communication ability, and their other qualities.

Author(s):  
Shaun Joseph Smyth ◽  
Kevin Curran ◽  
Nigel McKelvey

The introduction of the 21st century has experienced a growing trend in the number of people who choose to live within a city. Rapid urbanisation however, comes a variety of issues which are technical, social, physical and organisational in nature because of the complex gathering of large population numbers in such a spatially limited area. This rapid growth in population presents new challenges for the already stretched city services and infrastructure as they are faced with the problems of finding smarter methods to deal with issues including: traffic congestion, waste management and increased energy usage. This chapter examines the phenomenon of smart cities, their many definitions, their ability to alleviate the discomforts cities suffer due to rapid urbanisation and ultimately offer an improved and more sustainable lives for the city's citizens. This chapter also highlights the benefits of smart grids, their bi-directional real-time communication ability, and their other qualities.


2021 ◽  
Vol 13 (5) ◽  
pp. 2610
Author(s):  
Milan Kubina ◽  
Dominika Šulyová ◽  
Josef Vodák

Globalization, integration and liberalism are concepts that have been used since ancient history and have influenced urban governance to this day. The aim of the article is to find out, based on the historical development of globalization, Friedmann’s urban concept and Sassen’s global theory of cities—how world cities reflect the new challenges of 21st century globalization. In the recent past, building of the global urban network has been influenced by factors such as the growth of populism, neoliberalism, migration, the existence of exploitative centers, urbanization and changes in the demographic curve. Similar to the year 2020, also in 2021 cities must face a single global challenge posed by the Covid-19 pandemic. In this article the authors used methods of comparative analysis of global Smart Cities such as New York, London and Tokyo. The discussion section includes a summary of results of the analysis, and a design of a new general model for managing global challenges in cities is introduced. The results of the article point towards the role and influence of cultural differences of global cities and this also relates to the approach to managing the new challenges of current times. New York and London are culturally closer and also showed similar results, whereas Tokyo differs across all analyzed elements. The main result of the article are the answers to the research questions and the design of a new general model which involves various elements of globalization management and which is based on the world best practices.


2020 ◽  
Vol 170 ◽  
pp. 06001
Author(s):  
Raghav Bang ◽  
Manish Patel ◽  
Vasu Garg ◽  
Vishal Kasa ◽  
Jyoti Malhotra ◽  
...  

Internet of Things (IoT) with Artificial Intelligence (AI) has the virtue to address the key challenges encountered by the excessive Urban population; contributing to water management, waste management, energy crisis, and many such affairs. The urban city has reached the level of water scarcity with no adequate water supply. The lack of interconnectivity within the city also leads to severe consequences, such as delayed responses to emergency situations along with irregular traffic and infrastructure management. “Dholera” the futuristic city attempt to solve these issues. Dholera is the biggest and India’s first upcoming greenfield smart city solution developed under the Delhi Mumbai Industrial Corridor (DMIC) project in Gujarat, India. We have analyzed a few domains from this township project, to mention a few - Water Management, Waste Management, City Integrated Operation Centre (CIOC) and City portal. This paper spotlights on the novel ideas enhancing the smart city features and the working. Automating the city resources using futuristic technologies like big data analytics, Artificial Intelligence (AI) and the Internet of Things (IoT) would make the city well-functioning. In Dholera city, various sensors are mounted and interconnected to collect the data, monitor it, and communicate the values for dynamic action(s). Dholera has AI-based urban transportation, smart grids, renewable energy, solar power, waste and water management, along with urban farming, contributing to a reduction in carbon dioxide emissions and improving energy, water and managing traffic issues effectively. Smart cities are well classified as the growth bar contributing to the universal economy. This paper presents various models making the Dholera city a Fast Responsive, Sustainable, Intelligent and well-connected township.


2019 ◽  
Vol 7 (3) ◽  
pp. 1
Author(s):  
FULLER AARON ◽  
MILLER EVA ◽  
MAIER JÖRG ◽  
GLORIUS THOMAS ◽  
SCHEFFKNECHT GÜNTER ◽  
...  

2020 ◽  
Vol 15 (2) ◽  
pp. 52-58
Author(s):  
L. V. Shkvarya ◽  
A. S. Semenov

In the twenty-first century different countries and cities are increasingly seeking to introduce quality improvements in their livelihoods, generate for its residents an environment that is called “smart city” on the basis of high technologies. The article shows that the emergence of a “smart” city is an objective necessity due to the rapid growth of cities in the present and in the future. “Smart” city is designed to solve life problems in cities and create conditions for the socio-economic development of cities and countries, and for a favorable stay of residents on its territory. There are a number of strategies to implement the concept of “smart”, but it is important for each urban settlement to develop its own approaches and projects.


Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4776
Author(s):  
Seyed Mahdi Miraftabzadeh ◽  
Michela Longo ◽  
Federica Foiadelli ◽  
Marco Pasetti ◽  
Raul Igual

The recent advances in computing technologies and the increasing availability of large amounts of data in smart grids and smart cities are generating new research opportunities in the application of Machine Learning (ML) for improving the observability and efficiency of modern power grids. However, as the number and diversity of ML techniques increase, questions arise about their performance and applicability, and on the most suitable ML method depending on the specific application. Trying to answer these questions, this manuscript presents a systematic review of the state-of-the-art studies implementing ML techniques in the context of power systems, with a specific focus on the analysis of power flows, power quality, photovoltaic systems, intelligent transportation, and load forecasting. The survey investigates, for each of the selected topics, the most recent and promising ML techniques proposed by the literature, by highlighting their main characteristics and relevant results. The review revealed that, when compared to traditional approaches, ML algorithms can handle massive quantities of data with high dimensionality, by allowing the identification of hidden characteristics of (even) complex systems. In particular, even though very different techniques can be used for each application, hybrid models generally show better performances when compared to single ML-based models.


Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2143
Author(s):  
Sara Paiva ◽  
Mohd Abdul Ahad ◽  
Gautami Tripathi ◽  
Noushaba Feroz ◽  
Gabriella Casalino

The increasing population across the globe makes it essential to link smart and sustainable city planning with the logistics of transporting people and goods, which will significantly contribute to how societies will face mobility in the coming years. The concept of smart mobility emerged with the popularity of smart cities and is aligned with the sustainable development goals defined by the United Nations. A reduction in traffic congestion and new route optimizations with reduced ecological footprint are some of the essential factors of smart mobility; however, other aspects must also be taken into account, such as the promotion of active mobility and inclusive mobility, encouraging the use of other types of environmentally friendly fuels and engagement with citizens. The Internet of Things (IoT), Artificial Intelligence (AI), Blockchain and Big Data technology will serve as the main entry points and fundamental pillars to promote the rise of new innovative solutions that will change the current paradigm for cities and their citizens. Mobility-as-a-service, traffic flow optimization, the optimization of logistics and autonomous vehicles are some of the services and applications that will encompass several changes in the coming years with the transition of existing cities into smart cities. This paper provides an extensive review of the current trends and solutions presented in the scope of smart mobility and enabling technologies that support it. An overview of how smart mobility fits into smart cities is provided by characterizing its main attributes and the key benefits of using smart mobility in a smart city ecosystem. Further, this paper highlights other various opportunities and challenges related to smart mobility. Lastly, the major services and applications that are expected to arise in the coming years within smart mobility are explored with the prospective future trends and scope.


Telecom ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 108-140
Author(s):  
Paulo Álvares ◽  
Lion Silva ◽  
Naercio Magaia

It had been predicted that by 2020, nearly 26 billion devices would be connected to the Internet, with a big percentage being vehicles. The Internet of Vehicles (IoVa) is a concept that refers to the connection and cooperation of smart vehicles and devices in a network through the generation, transmission, and processing of data that aims at improving traffic congestion, travel time, and comfort, all the while reducing pollution and accidents. However, this transmission of sensitive data (e.g., location) needs to occur with defined security properties to safeguard vehicles and their drivers since attackers could use this data. Blockchain is a fairly recent technology that guarantees trust between nodes through cryptography mechanisms and consensus protocols in distributed, untrustful environments, like IoV networks. Much research has been done in implementing the former in the latter to impressive results, as Blockchain can cover and offer solutions to many IoV problems. However, these implementations have to deal with the challenge of IoV node’s resource constraints since they do not suffice for the computational and energy requirements of traditional Blockchain systems, which is one of the biggest limitations of Blockchain implementations in IoV. Finally, these two technologies can be used to build the foundations for smart cities, enabling new application models and better results for end-users.


Author(s):  
V.R. Sankar Cheela ◽  
Ved Prakash Ranjan ◽  
Sudha Goel ◽  
Michele John ◽  
Brajesh Dubey

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