Artificial Intelligence for Knowledge Management, Energy, and Sustainability

9th IFIP WG 12.6 and 1st IFIP WG 12.11 International Workshop, AI4KMES 2021, Held at IJCAI 2021, Montreal, QC, Canada, August 19–20, 2021, Revised Selected Papers

Häftad, Engelska, 2023

Av Eunika Mercier-Laurent, Gülgün Kayakutlu, Gulgun Kayakutlu

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This book features a selection of extended papers presented at the 9th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2021, and the 1st International Workshop on Energy and Sustainability, AIES 2021, named AI4KMES 2021 and held in conjunction with IJCAI 2021 in August 2021.

Produktinformation

Utgivningsdatum2023-03-01
Mått155 x 235 x 13 mm
Vikt359 g
FormatHäftad
SpråkEngelska
SerieIFIP Advances in Information and Communication Technology
Antal sidor215
FörlagSpringer Nature Switzerland AG
ISBN9783030965945

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Hårdvara inom Data och it
Beräkning och matematisk analys inom Naturvetenskap och teknik
Artificiell intelligens inom Data och it

Greening and Smarting IT – Case of Digital Transformation.- Crowdsourcing and Sharing Economy in the Smart City Concept. Influence of the Idea on Development and Urban Resources.- Assessment of Smart Waste Management Systems with Spherical AHP Method.- Zero Carbon Energy Transition in the Kitchen.- Barriers and Challenges of Knowledge Management in a Gas Company.- Characterization of residential electricity customers via Deep Ensemble Learning.- Grid Imbalance Prediction Using Particle Swarm Optimization and Neural Networks.- Collective Intelligence of Honey Bees for Energy and Sustainability.- The Application of Artificial Intelligence to Nuclear Power Plants Safety.- Capacity to build Artificial Intelligence Systems for Nuclear Energy Security and Sustainability: Experience of Belarus.- Automated Planning to Evolve Smart Grids with Renewable Energy.- Artificial Intelligence Application for Crude Distillation Unit: An overview.- Deep Reinforced Learning for the Governance of a SampleMicrogrid.- Residential Short-Term Load Forecasting via Meta Learning and Domain Augmentation.- Renewable Energy Investment Decision Evaluation for Local Authorities.