This is an old revision of the document!


General Topics

Smartness

lead-authors: Klaus Kubeczko contributors: Vitaliy Soloviy reviewers: version: 2.0 updated: 17 March 2026 sensitivity: low ai-use: Claude Sonnet 4.6 (Anthropic) was used for topic structuring, editorial revision, and formatting; reviewed by Vitaliy Soloviy, 17 March 2026 status: draft

Smartness in energy systems is multi-dimensional: technical ICT capability only delivers outcomes when social, financial, and governmental dimensions are also fit for purpose.

Smartness describes the capacity to ensure effective use of digital technologies.

Why this matters

How technical capabilities translate into outcomes depends on whether the actors, institutions, and financial mechanisms surrounding them are also fit for purpose. Studies of microgrid deployments in India show that a technically capable system can fail if it lacks the financial mechanisms to sustain revenue flows, the social legitimacy to maintain user participation, or the relationship with government infrastructure needed to operate effectively in its context.1)

Smart grids require various forms of smartness — social, financial, and governmental — that enable and sustain technical capabilities rather than being supplementary to them.

Shared definitions

Smartness, in the context of smart grid transitions, is a multi-dimensional quality encompassing four interdependent forms. These dimensions are entangled — none functions well in isolation, and effective smart grid deployment depends on aligning all four.2)

Form What it involves
Technical smartness ICT layers enabling sensing, communication, and automation
Social smartness Designs that achieve their aims while maintaining democratic participation and user agency
Financial smartness Mechanisms that sustain continuous energy access while protecting revenue flows
Governmental smartness Relationships with public electricity infrastructure and regulatory frameworks that shape what is possible

Perspectives

Smartness looks different depending on whether the emphasis is on who participates, what technologies are deployed, or what institutional conditions make deployments viable.

Actors and stakeholders

Social smartness requires that solutions are designed with and for the communities they serve. In Indian microgrid settings, user participation and democratic governance of the grid determined whether technically capable systems achieved their intended aims. A design may be technically advanced yet socially ineffective if it bypasses the needs, capacities, or decision-making roles of the people whose behaviour it depends on.

India – sociotechnical microgrids
Research on microgrid deployments in India found that a technically capable system could only be considered socially smart if it achieved its intended aims while maintaining the democratic governance structure of the grid. Social, financial, and governmental dimensions were shown to be as determinative as technical capability.3)

Technologies and infrastructure

Technical smartness — smart meters, automated controls, ICT integration — is necessary but not sufficient. Its effectiveness depends on whether the devices and data it generates are embedded in financial and social arrangements that users understand and accept. Smart meters that tie into joint liability financing mechanisms illustrate how technical and non-technical components can reinforce each other when designed in concert.

@@GAP@@ Case examples needed: add one case showing how a technical smartness component succeeded or failed depending on the non-technical conditions surrounding it.

Institutional structures

Governmental smartness describes how distributed energy systems position themselves in relation to state electricity infrastructure and regulation. Where public grid infrastructure is present or expanding, smart solutions must navigate their relationship to it — as complement, stepping stone, or longer-term alternative. This relationship involves legitimacy, subsidy structures, and the political economy of energy access.

@@GAP@@ Case examples needed: add one case showing how the relationship between a distributed smart energy system and public electricity infrastructure shaped outcomes.

Distinctions and overlaps

Smartness vs digitalisation
Digitalisation refers to the application of digital technologies — sensors, software, data platforms — to grid infrastructure and services. Smartness is the broader outcome quality that digitalisation may contribute to but does not automatically produce. A highly digitalised system can lack social or governmental smartness; a system with limited digital infrastructure can exhibit other forms of smartness if its financial and social arrangements are well-designed.

Technical smartness vs smart grid
Smart grid is commonly used as a technical term denoting ICT-enabled grid capabilities. Smartness as developed here reframes the smart grid question: the relevant question is not whether a grid has smart technology, but whether the full sociotechnical configuration — technical, social, financial, governmental — is fit for the context and the transition it is meant to serve.

Topic notes

1) , 2) , 3)
Kumar, A. (2019). Beyond technical smartness: Rethinking the development and implementation of sociotechnical smart grids in India. Energy Research and Social Science, 49, 158–168. https://doi.org/10.1016/j.erss.2018.10.026