Browsing Fakultet for informasjonsteknologi og elektroteknikk (IE) by Journals "Energy Informatics"
Now showing items 1-10 of 10
-
Big data-oriented energy prosumption service in smart community districts: a multi-case study perspective
(Journal article; Peer reviewed, 2019)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 ... -
Challenges in platforming and digitizing decentralized energy services
(Journal article; Peer reviewed, 2022) -
The Eco-city and Its Core Environmental Dimension of Sustainability: Green Energy Technologies and their Integration with Data-Driven Smart Solutions
(Peer reviewed; Journal article, 2020)Ecological urbanism is seen today as one of the keys towards unlocking the quest for a low-carbon or fossil fuel–free society. Global and local policies promote and advocate the eco–city as the most environmentally sound ... -
The Emerging Data–Driven Smart City and its Innovative Applied Solutions for Sustainability: The Cases of London and Barcelona
(Peer reviewed; Journal article, 2020)The big data revolution is heralding an era where instrumentation, datafication, and computation are increasingly pervading the very fabric of cities. Big data technologies have become essential to the functioning of cities. ... -
Environmentally Data-Driven Smart Sustainable Cities: Applied Innovative Solutions for Energy Efficiency, Pollution Reduction, and Urban Metabolism
(Peer reviewed; Journal article, 2020)The IoT and big data technologies have become essential to the functioning of both smart cities and sustainable cities, and thus, urban operational functioning and planning are becoming highly responsive to a form of ... -
Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review
(Journal article; Peer reviewed, 2023)There have recently been intensive efforts aimed at addressing the challenges of environmental degradation and climate change through the applied innovative solutions of AI, IoT, and Big Data. Given the synergistic potential ... -
A Methodological Framework for Futures Studies: Integrating Normative Backcasting and Descriptive Case Study for Strategic Data-Driven Smart Sustainable City Planning
(Peer reviewed; Journal article, 2020)Originally proposed as an alternative to traditional energy planning methodology in the 1970s, backcasting is increasingly applied in futures studies related to sustainability, as it is viewed as a natural step in ... -
A Novel Model for Driven Smart Sustainable Cities of the Future: The Institutional Transformations Required for Balancing and Advancing the Three Goals of Sustainability
(Peer reviewed; Journal article, 2021)In recent years, it has become increasingly feasible to achieve important improvements of sustainability by integrating sustainable urbanism with smart urbanism thanks to the proven role and synergic potential of data-driven ... -
Predictive digital twin for offshore wind farms
(Peer reviewed; Journal article, 2023)As wind turbines continue to grow in size, they are increasingly being deployed offshore. This causes operation and maintenance of wind turbines becoming more challenging. Digitalization is a key enabling technology to ... -
Recursive training based physics-inspired neural network for electric water heater modeling
(Peer reviewed; Journal article, 2022)Aggregating flexibility from residential electric water heaters (EWHs) is fast gaining commercial interest. Flexibility modeling of an EWH involves highly precise and quick simulation of EWH water temperature using the EWH ...