AI and Data Democratisation for Intelligent Energy Management
| Autor: | Alexandros Nikas, Haris Doukas, Themistoklis Koutsellis, Vangelis Marinakis |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Decision support system
Technology Control and Optimization Knowledge management decision support energy management Computer science Emerging technologies Energy management 020209 energy data sharing Energy Engineering and Power Technology decarbonisation data democratisation Context (language use) interoperability 02 engineering and technology Business model artificial intelligence energy data spaces 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Engineering (miscellaneous) Renewable Energy Sustainability and the Environment business.industry Data sharing Data access Analytics 020201 artificial intelligence & image processing business Energy (miscellaneous) |
| Zdroj: | Energies, Vol 14, Iss 4341, p 4341 (2021) Energies; Volume 14; Issue 14; Pages: 4341 |
| ISSN: | 1996-1073 |
| Popis: | Despite the large number of technology-intensive organisations, their corporate know-how and underlying workforce skill are not mature enough for a successful rollout of Artificial Intelligence (AI) services in the near-term. However, things have started to change, owing to the increased adoption of data democratisation processes, and the capability offered by emerging technologies for data sharing while respecting privacy, protection, and security, as well as appropriate learning-based modelling capabilities for non-expert end-users. This is particularly evident in the energy sector. In this context, the aim of this paper is to analyse AI and data democratisation, in order to explore the strengths and challenges in terms of data access problems and data sharing, algorithmic bias, AI transparency, privacy and other regulatory constraints for AI-based decisions, as well as novel applications in different domains, giving particular emphasis on the energy sector. A data democratisation framework for intelligent energy management is presented. In doing so, it highlights the need for the democratisation of data and analytics in the energy sector, toward making data available for the right people at the right time, allowing them to make the right decisions, and eventually facilitating the adoption of decentralised, decarbonised, and democratised energy business models. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|