API deployment for big data management towards sustainable energy prosumption in smart cities-a layered architecture perspective

Abstract

Smart city has emerged as a universal term for the pervasive utilization of Information and Communication Technologies (ICTs) 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 (EVs). 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.

Applying software-defined networking to support telemedicine health consultation during and post Covid-19 era

“…Moreover, there is lack of security and inadequate technological infrastructures such as broadband connection and platforms for both medical professionals and patients [ 5 , 19 ]. Due to the novelty and potentially unclear nature of telemedicine platforms to patients.…”

“…For telehealth to be successfully integrated, several berries such as availability of broadband coverage and internet access, licensure, reimbursement, and data security and privacy needs to be adequately addressed [ 20 ]. Thus, secured software platforms that conforms to HIPPAA standards or according to the standards set by national agencies should be adhered to ensure that patients medical data are secured from cyber security attack [ 5 , 19 ].…”

An intelligent system for energy management in smart cities based on big data and ontology

“…Otherwise, Big Data technology is used to offer a reliable, scalable, distributed data management, and storage. (Bokolo et al , 2019) developed a layered architecture providing energy data that aims to facilitate energy prosumption with a renewable source. APIs were used as data adapters for prosumers, stakeholders, and real-time streaming to manage energy within smart cities.…”

“…Through the data analysis offered by Big Data tools and inference rules, the system can understand the collective inhabitants’ behavior, knows the appliances and peak periods. It can predict consumption for long-term and endows decision-making by a real overview to establish a global policy for reducing energy consumption in smart cities (Bokolo et al , 2019).…”

The role of hydropower in renewable energy sector toward co2 emission reduction during the COVID-19 pandemic

“…Furthermore, global Carbon dioxide (CO 2 ) emission has been a cause for concern (Anthony Jnr et al 2020), as recorded by Olivier, Schure, and Peters (2017) due to CO 2 resulting in 72% increase in Greenhouse gas (GHG) emissions which are as a result of fossil fuel combustion. Thus, an annual increase is constantly being observed (Olivier, Schure, and Peters 2017).…”