Abstract
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.
Highlights
There is increasing debate over the importance of data democracy [1,2]; press pieces, academic articles, and debates over mainstream media expand or redefine the term and continuously reshape its meaning and framework
The growth in data volumes, the expansion in data types/formats, and the plethora of data analysis and process methodologies, combined with the constantly increasing momentum of Artificial Intelligence (AI) [9,10], indicate that the 21st century marks the era of data science [11,12,13,14]: everybody imprints data somewhere (on the Web, Internet of Things (IoT), etc.) almost about everything
The energy system is going through an unprecedented transformation that can be summarised in two main factors: supply side changes mainly orienting on the installation of renewable energy sources [16] and demand-side solutions orbiting around behavioural change and further highlighting a new, more active role for consumers [17]
Summary
There is increasing debate over the importance of data democracy [1,2]; press pieces, academic articles, and debates over mainstream media expand or redefine the term and continuously reshape its meaning and framework. The energy system is going through an unprecedented transformation that can be summarised in two main factors: supply side changes mainly orienting on the installation of renewable energy sources [16] and demand-side solutions orbiting around behavioural change and further highlighting a new, more active role for consumers [17]. Such a transformation is significantly affecting the business structure and determining the creation of completely new concepts of utility. One of the main factors is that we are straying away from the concept of delivering a commodity and instead entering a new economy of services
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