The smart city has emerged as a universal term for the pervasive utilisation of information and communication technologies deployed to provide value-added services to citizens based on data generated from sectors such as energy, mobility, etc. However, current approaches are faced with interoperability as a challenging issue in processing big data. Therefore, this study explores the role of application programming interfaces (APIs) for managing real-time, online, and historical energy data in the context of residential buildings and electric vehicles. Moreover, a layered architecture that employs APIs in big data is developed for district energy management towards providing energy information intelligence and support decision-making on energy sustainability in facilitating prosumption operations. Practically, the layered architecture collects energy data and provides data to prosumers who are citizens that produce, consume, share, and sell energy generated from renewable sources such as solar and wind to better improve energy prosumption in smart grid.

Purpose: In smart cities pervasive systems are deployed by enterprises and stakeholders in municipalities to provide digital services to citizens. But cities are faced with the challenge of achieving system pluggability, mainly service integration due to numerous actors and systems needed for smart urban transformation. Hence, there is need to employ a comprehensive and holistic approach to help achieve service integration of pervasive platforms. Therefore, this study presents an Enterprise Architecture Framework (EAF) to support smart urban transformation.Design/methodology/approach: In this study the design science research methodology is adopted based on a multi-case studies of two organizations and data is collected using semi-structured interview from an organizations and municipality in Norway to validate how service integration can be achieved by the developed EAF to address pluggability challenges faced in urban environment.Findings: Findings suggest that the presented EAF provides the structure to manage changes and maintain urban transformation and aims to align the business with the underlying information systems from the perspective of the stakeholders. Additionally, findings from the case studies modelled in ArchiMate language depict how service integration of different pervasive platforms provide digital services for smart urban transformation.Research limitations/implications: This research only employed semi-structured interviews to validate service integration of digital platforms, other identified dimensions of pluggability were not fully addressed in this study.Practical implications: Findings from the case studies provides insights on how pervasive platforms can be integrated to achieve a pluggable digital service from different stakeholders and data sources in practice. The developed EAF presented in this study provide a model that supports collection and exchange of data from different data sources in smart urban environment to enable the provision and consumption of digital services.Social implications: The developed EAF aids system pluggability of actors and systems in providing digital service such as smart urban transformation that contributes to sustainable use of electric mobility in cities.Originality/value: As cities increasingly deploy pervasive platforms to support urban innovation, researchers are seeking to explore how these platforms shape urban transformation. Presently, prior studies do not offer important insights into pervasive platform management from urban perspective. Against this backdrop, this study employs the information systems perspective of digital platforms literature roots in software development and physical product development to depict how the EAF can be employed to describe specific cases that integrate different pervasive platforms deployed by different stakeholders communicating to co-create collective digital services to citizens.

The Positive Energy District (PED) concept is a localized city and district level response to the challenges of greenhouse gas emission reduction and energy transition. With the Strategic Energy Transition (SET) Plan aiming to establish 100 PEDs by 2025 in Europe, a number of PED projects are emerging in the EU member states. While the energy transition is mainly focusing on technical innovations, social innovation is crucial to guarantee the uptake and deployment of PEDs in the built environment. We set the spotlight on Norway, which, to date, has three PED projects encompassing 12 PED demo sites in planning and early implementation stages, from which we extract approaches for social innovations and discuss how these learnings can contribute to further PED planning and implementation. We describe the respective approaches and learnings for social innovation of the three PED projects, ZEN, +CityxChange and syn.ikia, in a multiple case study approach. Through the comparison of these projects, we start to identify social innovation approaches with different scopes regarding citizen involvement, stakeholder interaction and capacity building. These insights are also expected to contribute to further planning and design of PED projects within local and regional networks (PEDs in Nordic countries) and contribute to international PED concept development.

The smart grid achieves bidirectional information and energy flow between energy consumer and utility grid, aiding energy users not only to utilize energy, but also to produce, sell, and share energy with other consumers or with the utility grid. This type of energy user is referred to as the “prosumer”. Thus, prosumer management structures are important within energy market. However, prior studies on energy sustainability has paid little attention on prosumer involvement and management. Likewise, the continuous growth of cities has increased data processing complexity. Consequently, processing and analysis of historical, online, and real-time streaming data from energy sensors and metering devices has become a major issue in smart cities. Therefore, this research aims to present an architecture based on big data to improve energy prosumption in smart community districts by applying enterprise architecture approach grounded on The Open Group Architecture Framework (TOGAF). Accordingly, qualitative methodology is adopted to collect data by employing case study by focus group interview from two energy companies in Norway to preliminarily validate the architecture. Findings from the case studies was demonstrated in ArchiMate modeling language to evaluate the applicability of the architecture. Moreover, findings from this study provides practical scenario that energy service providers can refer to in designing their own energy data platforms. Essentially, the architecture can be utilized as a guide to help municipalities and policy makers in creating approach for energy data analytics in smart community districts towards making decisions for future energy prosumption planning.

A pragmatic and polity-focused solution for governing a smart city in the direction of sustainability is still missing in theory and practice. A debate about whether a smart city is a pragmatic solution for modern challenges or just a technology-led urban utopia is entangled with the vexed issue of governance. While ‘smart governance’ has drawn unprecedented interest, the combination of its conceptual vagueness and broad applications couple with a lack of focus on its underlying international and local political paradigms have raised concerns about its utility. This study contributes to restoring attention to the original concept of governance, its differences with governing and government, and the potential challenges resulting from its functionality in its real, multi-layered, and complex contexts. This paper explores the intellectual connection between governance and smart cities, from both an empirical and a conceptual/analytical perspective. From the empirical side, we examine which actors, processes, and relational mechanisms at different levels that have had an impact on the initiation of smart cities in three Norwegian cities: Trondheim, Bergen, and Bodø. We illustrate how the structural sources of the interests, roles, and power in smart city initiatives have caused governance to emerge and change, but have also affected the goals designed by specific actors.