ENERGY 2022, The Twelfth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies

Type: conference

Notes: IARIA Conference

Editors:
Vivian Sultan, California State University Los Angeles, USA
Oana Dini, IARIA, USA

ISSN: 2308-412X

ISBN: 978-1-61208-967-6

Location: Venice, Italy

Dates: from May 22, 2022 to May 26, 2022

Articles: there are 8 articles

GIS Deep Learning for Power Assets' Detection and Identification
Vivian Sultan, Jose Ramirez, Jordan Peabody, and Madison Bautista
keywords: LiDAR; deep learning; point cloud; ArcGIS Pro; point classification.

Improved Data Preprocessing Approach to Short-Term Load Forecasting
Athanasios Ioannis Arvanitidis and Dimitrios Bargiotas
keywords: short-term load forecasting, data preprocessing, scaling techniques, multi-layer perceptron

Attention-guided Temporal Convolutional Network for Non-intrusive Load Monitoring
Huamin Ren, Xiaomeng Su, Robert Jenssen, Jingyue Li, and Stian Normann Anfinsen
keywords: energy disaggregation, non-intrusive load monitoring, deep learning, temporal convolutional network, attention model

Constraint-based Modeling of Smart Grid Services in ICT-Reliant Power Systems
Frauke Oest and Sebastian Lehnhoff
keywords: smart grids; information and communication technology; quality of service; constraint satisfaction problem

Training an Energy Management Simulation with Multi-Agent Reinforcement Learning
Alexander Haemmerle, Kapil Deshpande, Philipp Moehl, and Georg Weichhart
keywords: Energy Management; Multi-Agent Reinforcement Learning; Photo-Voltaic; Battery Storage; Microgrid;

Performance of Linear Programming in Optimizing the Energy Schedule of a Grid-connected Hybrid System Compared to Particle Swarm Optimization
Hoda Elaouni, Hussein Obeid, Stéphane Le Masson, Hamid Gualous, and Olivier Foucault
keywords: Linear Programming; Particle Swarm Optimization; Optimization; Grid-connected hybrid system

Photovoltaic Generation Forecasting – A Case Study
Sinan Wannous, Isabel Praça, Rui Andrade, and Sergio Ramos
keywords: Energy Prediction; Energy Forecasting Tools; Prediction Models; Machine Learning

Energy Efficiency of Parallel File Systems on an ARM Cluster
Timm Leon Erxleben, Kira Duwe, Jens Saak, Martin Köhler, and Michael Kuhn
keywords: energy efficiency, CephFS, OrangeFS, x86, ARM