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This paper focuses on technical and economic analysis of a hydrogen refilling station to provide operational insight through tight coupling of technical models of physical processes and economic models. This allows the dynamic relationships of the system to be captured and analysed to provide short/medium term analytical capability to support system design, planning, and financing. The modelling developed...
The societal need for better public healthcare calls for granular, continuous, nationwide instrumentation and data fusion technologies. However, the current trend of centralised (database) health analytics gives rise to data privacy issues. This paper proposes sensor data mining algorithms that help infer health/well-being related lifestyle patterns and anomalous (or privacy-sensitive) events. Such...
While pilot projects in the smart grid domain have abounded through public and private efforts, there is still uncertainty in identifying effective business models for the smart grid. In this paper we take the view of a new entrant in this market acting as a third party provider of demand response. New entrants are a key player in emerging technological domains but simulation and policy analysis from...
Smart grid efficient load balancing and the need for privacy are, in principle, contradictory. While richer information obtained from frequent energy readings help improve both the prediction and the control of the demand, and, effectively, improve the efficiency of the energy equilibrium production problem, it also gives rise to consumer privacy concerns. This is possible by analysing energy signatures...
Demand response is considered as a technique to address Smart Grid requirements such as reduction of peak electricity production, improving stability and integration of renewable electricity. In this paper an automated DR mechanism is implemented by applying game-theoretic principles to the interaction and dependency of individual consumer requirements. Game theory has been used as an abstraction...
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