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Cybersecurity in smart local energy systems: requirements, challenges, and standards
Springer Science and Business Media LLC - Tập 5 - Trang 1-30 - 2022
Smart local energy system (SLES) can support tailored regional solutions through the orchestration of cyber physical architectures, coordinating distributed technologies, with operational and forecasting models across all energy actors. Unprecedented access to new information, data streams and remotely accessible control can substantially benefit the multi-objective optimisation of multiple perfor......
The determinants of reliable smart grid from experts’ perspective
Springer Science and Business Media LLC - Tập 6 - Trang 1-23 - 2023
A smart grid integrates communication networks with the conventional electrical grid. Due to their potential, smart grids are anticipated to achieve widespread deployment. A key component of the success and adoption of smart grids is reliability. Without knowing users’ impressions of the reliability of the smart grid, users will not easily accept and participate in it or its services. However, ver......
Load balancing of renewable energy: a cyber security analysis
Springer Science and Business Media LLC - Tập 1 - Trang 1-41 - 2018
In the coming years, the increase of automation in electricity distribution grids, controlled by ICT, will bring major consequences to the cyber security posture of the grids. Automation plays an especially important role in load balancing of renewable energy where distributed generation is balanced to load in a way that the grid stability is ensured. Threats to the load balancing and the smart gr......
Boost short-term load forecasts with synthetic data from transferred latent space information
Springer Science and Business Media LLC - Tập 5 - Trang 1-20 - 2022
Sustainable energy systems are characterised by an increased integration of renewable energy sources, which magnifies the fluctuations in energy supply. Methods to to cope with these magnified fluctuations, such as load shifting, typically require accurate short-term load forecasts. Although numerous machine learning models have been developed to improve short-term load forecasting (STLF), these m......
From use cases to business cases: I-GReta use cases portfolio analysis from innovation management and digital entrepreneurship models perspectives
Springer Science and Business Media LLC - Tập 7 - Trang 1-26 - 2024
This study provides a detailed exploration of how innovation management and digital entrepreneurship models can help transform technical use cases in smart grid contexts into viable business cases, thereby bridging the gap between technical potential and market application in the field of energy informatics. It focuses on the I-GReta project Use Cases (UCs). The study employs methodologies like Us......
Enabling architecture based Co-Simulation of complex Smart Grid applications
Springer Science and Business Media LLC - Tập 2 - Trang 1-19 - 2019
The integration of decentralized prosumers into current energy systems leads to continuously increasing complexity in today‘s popular term of the Smart Grid. Since conventional engineering methods reach their limits when dealing with the challenges in developing such systems, model-driven approaches like Domain Specific Systems Engineering (DSSE) gain significant importance. Contributing to the ag......
Office building participation in demand response programs supported by intelligent lighting management
Springer Science and Business Media LLC - Tập 1 - Trang 1-14 - 2018
According to importance of demand response programs in smart grids and microgrids, many efforts have been made to change the consumption patterns of the users, and the use of renewable resources has also increased. Significant part of energy consumption belongs to buildings such as residential, commercial, and office buildings. Many buildings are equipping with components that can be used for the ......
Modeling interconnected ICT and power systems for resilience analysis
Springer Science and Business Media LLC - Tập 3 - Trang 1-20 - 2020
Increasing interdependencies between power and ICT systems amplify the possibility of cascading failures. Resilience against such failures is an essential property of modern and sustainable power systems and networks. To assess the resilience and predict the behaviour of a system consisting of interdependent subsystems, the interconnection requires adequate modeling. This work presents an approach......
Forecasting cross-border power transmission capacities in Central Western Europe using artificial neural networks
Springer Science and Business Media LLC - Tập 2 - Trang 1-13 - 2019
Flow-based Market Coupling (FBMC) provides welfare gains from cross-border electricity trading by efficiently providing coupling capacity between bidding zones. In the coupled markets of Central Western Europe, common regulations define the FBMC methods, but transmission system operators keep some degrees of freedom in parts of the capacity calculation. Besides, many influencing factors define the......
From computer systems to power systems: using stochastic network calculus for flexibility analysis in power systemsAbstract As power systems transition from controllable fossil fuel plants to variable renewable sources, managing power supply and demand fluctuations becomes increasingly important. Novel approaches are required to balance these fluctuations. The problem of determining the optimal deployment of flexibility options, considering factors such as timing and location, s... ...
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