Challenges of ICT and artificial intelligence in smart grids

Ferreira, Adriano; Leitão, Paulo; Vrba, Pavel

doi:10.1109/iwies.2014.6957039

Cited by 13 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Artificial Intelligence (AI) is defined as an approach "which can improve the decisionmaking for energy consumption and human well-being" (Nigon et al, 2016). AI can provide the control algorithms that could support the whole smart grid and handle big volumes of data in the cloud (Ferreira et al, 2014). AI techniques can be applied to automate and improve the performance of the smart grid and support various applications, e.g., the integration of renewable energy resources and energy storage systems, demand response, etc., (Ali & Choi, 2020).…”

Section: Big Data and Artificial Intelligencementioning

confidence: 99%

An overview of digitalization for the building-to-grid ecosystem

Clausen

Lin

et al. 2021

Energy Inform

View full text Add to dashboard Cite

Digitalization is playing an important role in the emerging practice of Building-to-Grid (B2G). However, the majority of the literature only covers either the grid side, the demand side, or the technical aspect of B2G integration, and an overview of the digitalization in B2G and the involved stakeholders is missing. To fill these gaps, this paper proposes a definition of the B2G ecosystem and provides an overview of the digitalization of the B2G ecosystem with six aspects (B2G goals and themes, B2G technologies, B2G data sources and data management, and B2G related stakeholders). This paper also discusses five emerging technologies (5G, IoT, big data, artificial intelligence, and blockchain) and three main challenges of the applications of the emerging technologies in the B2G ecosystem (Security and privacy, interoperability and scalability, coordination, and dysfunctional emerging behaviors of collective intelligent controls). Lastly, this paper recommends future research directions in the Building-to-Grid ecosystem (especially ecosystem modeling and simulation), B2G’s role in smart cities, sustainability, resilience, and harmonization of the B2G ecosystem, and other emerging technologies in B2G.

show abstract

Section: Big Data and Artificial Intelligencementioning

confidence: 99%

An overview of digitalization for the building-to-grid ecosystem

Clausen

Lin

et al. 2021

Energy Inform

View full text Add to dashboard Cite

show abstract

“…In other words, the smart grid needs a proper ICT infrastructure to allow their development and implementation, constituting an essential enabler of smart grids and one main challenge within the smart grid context due to its transversal application domain [7].…”

Section: Automation Functionalities In Smart Gridsmentioning

confidence: 99%

Simulating smart grid using a two-layer multiagent framework

Ferreira

Leitão

Vrba

2015

2015 IEEE International Conference on Industrial Technology (ICIT)

Self Cite

View full text Add to dashboard Cite

The integration of ICT technologies will contribute to meet the objectives of smart grids by applying intelligent strategies to implement their automation functions. The use of the real electrical power energy infrastructure is hardly to be managed. The use of simulation constitutes an alternative to model and test in a simple way these complex power electrical grids, improving the system's reliability, resilience and stability. However, power simulators don't reflect the unpredictable behaviours caused by the collaborative interference of intelligent and cognitive systems, being required an easy and transparent platform to interconnect the intelligent control with the power emulator platforms. This paper introduces a two-layer framework integrating multi-agent-based control systems with power simulator tools, allowing to create a virtual environment to test and simulate the different control strategies and helping the deployment of the future smart grid concept. An instantiation of this framework is deeply analysed for the use of GridLab-D as power simulation tool.

show abstract

“…A connected world, with a huge amount of devices that collect data, needs to take decisions in order to adapt itself to changing environments. In these terms, Artificial Intelligent (AI) will be a hot topic in the field of IoT due to the increasing demand of autonomy, adaptation and flexibility that the different applications are requiring [27]. Regarding decision making, classification systems, neural networks or even voting procedures can be suitable tools.…”

Section: Listo F Tablesmentioning

confidence: 99%

Adaptive Cooperative Learning Model based on Classifier Ensembles for Embedded Intelligent Systems

José¹

View full text Add to dashboard Cite

Challenges of ICT and artificial intelligence in smart grids

Cited by 13 publications

References 23 publications

An overview of digitalization for the building-to-grid ecosystem

An overview of digitalization for the building-to-grid ecosystem

Simulating smart grid using a two-layer multiagent framework

Adaptive Cooperative Learning Model based on Classifier Ensembles for Embedded Intelligent Systems

Contact Info

Product

Resources

About