Smart grid architecture model for control, optimization and data analytics of future power networks with more renewable energy

DK Panda, S Das - Journal of Cleaner Production, 2021 - Elsevier
This paper describes a generic methodology to develop mathematical and computational
models of different components of the smart grid architecture model (SGAM). The SGAM …

A review of the development of Smart Grid technologies

ML Tuballa, ML Abundo - Renewable and Sustainable Energy Reviews, 2016 - Elsevier
Energy sustainability and environmental preservation have become worldwide concerns
with the many manifestations of climate change and the continually increasing demand for …

[HTML][HTML] Challenges for positive energy districts deployment: A systematic review

LN Sassenou, L Olivieri, F Olivieri - Renewable and Sustainable Energy …, 2024 - Elsevier
While the effects of climate change are already being felt in many parts of the world,
societies are compelled to drastically rethink the way they produce and manage energy, to …

OntoProg: An ontology-based model for implementing Prognostics Health Management in mechanical machines

DL Nuñez, M Borsato - Advanced Engineering Informatics, 2018 - Elsevier
Abstract Trends in Prognostics Health Management (PHM) have been introduced into
mechanical items of manufacturing systems to predict Remaining Useful Life (RUL). PHM as …

Independence without control: Autarky outperforms autonomy benefits in the adoption of private energy storage systems

F Ecker, H Spada, UJJ Hahnel - Energy Policy, 2018 - Elsevier
Decentralized energy storage systems (ESS) are a promising means to more effectively
match the supply and demand of fluctuating renewable energies. In most countries …

Enhancing energy management at district and building levels via an EM-KPI ontology

Y Li, R García-Castro, N Mihindukulasooriya… - Automation in …, 2019 - Elsevier
The use of information and communication technologies facilitates energy management
(EM) at both district and building levels, but also generates a considerable amount of data …

Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach

X Zhou, J Feng, J Wang, J Pan - PeerJ Computer Science, 2022 - peerj.com
Load forecasting is very essential in the analysis and grid planning of power systems. For
this reason, we first propose a household load forecasting method based on federated deep …

Near-optimal operation of the distributed energy resources in a smart microgrid district

P Cortés, P Auladell-León, J Muñuzuri… - Journal of Cleaner …, 2020 - Elsevier
This paper considers the case study of a smart microgrid district at Graciosa Island in the
Canary Islands. The smart energy microgrid district consists of several households and a …

Designing an integrated knowledge graph for smart energy services

S Chun, J Jung, X Jin, S Seo, KH Lee - The Journal of Supercomputing, 2020 - Springer
The sharp growth of distributed energy-related resources requires an efficient energy
management for future grids. The traditional power grid that highly depends on information …

OntoWind: An improved and extended wind energy ontology

D Küçük, D Küçük - arXiv preprint arXiv:1803.02808, 2018 - arxiv.org
Ontologies are critical sources of semantic information for many application domains.
Hence, there are ontologies proposed and utilized for domains such as medicine, chemical …