Unless just and inclusive, transitions to low carbon-energy systems are unlikely receive sufficient legitimacy broad public support. While research on inequalities injustices in energy is growing, these issues remain less explored the case of digitalisation through smart grids homes. This paper aims synthetise our understandings inequality, exclusion vulnerability by systemically analysing diff...

Energy conservation is a global issue with great implications. High energy demands and environmental concerns force the transformation of electricity grids into smart grids, towards more rational utilization of energy. Embedded computing and smart metering transform houses into energy-aware environments, allowing residents to make informed choices about electricity. Web technologies are success...

In the smart grid, electricity price is a key element for all participants in electric power industry. To meet grid’s various goals, Demand-Response (DR) control aims to change consumption behavior of consumers based on dynamic pricing or financial benefits. DR methods are divided into centralized and distributed communication model. control, communicate directly with company, without communica...

† Fuji Electric Co., Ltd. opment Organization (NEDO) for a period of 5 years beginning in 2003, and has amassed a proven track record for developing and evaluating “microgrid control technology” that balances the supply and demand of energy within a regional grid consisting primarily of renewable energy sources such as solar power, wind power and biomass power. Combining its accumulated advance...

We propose an integrated architecture for smart grids, that supports data aggregation and access control. Data can be aggregated by home area network, building area network and neighboring area network in such a way that the privacy of customers is protected. We use homomorphic encryption technique to achieve this. The consumer data that is collected is sent to the substations where it is monit...

The huge amounts of data required by Smart grids operation are impossible to be processed by human operators in a timely manner. New intelligent systems should provide a clear decision regarding the system state. This paper proposes a new methodology based on supervised learning using AdaBoost and CARTs as decision support system for power system state classification. The methodology proves to ...

Sensor networks and the Internet of Things have driven the evolution of traditional electric power distribution networks towards a new paradigm referred to as Smart Grid. However, the different elements that compose the Information and Communication Technologies (ICTs) layer of a Smart Grid are usually conceived as isolated systems that typically result in rigid hardware architectures which are...