Energy Informatics : 4th Energy Informatics Academy Conference, EI.A 2024, Kuta, Bali, Indonesia, October 23–25, 2024, Proceedings, Part I / edited by Bo Nørregaard Jørgensen, Zheng Grace Ma, Fransisco Danang Wijaya, Roni Irnawan, Sarjiya Sarjiya.

Format:

Book

Contributor:

Jørgensen, Bo Nørregaard, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 15271

Language:

English

Subjects (All):

Machine learning.

Artificial intelligence.

Business information services.

Computers, Special purpose.

Data mining.

Machine Learning.

Artificial Intelligence.

Business Information Systems.

Special Purpose and Application-Based Systems.

Data Mining and Knowledge Discovery.

Local Subjects:

Machine Learning.

Artificial Intelligence.

Business Information Systems.

Special Purpose and Application-Based Systems.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (XVII, 381 p. 141 illus., 122 illus. in color.)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

Chapter “Automation Level Taxonomy for Time Series Forecasting Services: Guideline for Real-World Smart Grid Applications” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Contents:

IoT Edge Computing, and Software Innovations in Energy

Scheduling Electric Currents in Converter-Dominated Power Grids with Time Slotted Energy Packets

Symbiosis A Web Based Decision Support Tool for Achieving Symbiosis in Industrial Parks

A Cost Effective Edge Computing Gateway for Smart Buildings

Leveraging Internet of Things Network Metadata for Cost Effective Automatic Smart Building Visualization

Process to Market A Web based Evaluation Tool for Electricity Market Participation

IoT Based Smart Air Ventilation and Energy Management System

Big Data Analytics and Cybersecurity in Energy

Leveraging Open Data for Energy Source Selection in Bi Valent Industrial Processes

Legal overview of latest developments in the Energy Sector regarding data protection and cybersecurity

Energy Data Collection Protocol A Case Study on the ADRENALIN Project

DataPro A Standardized Data Understanding and Processing Procedure A Case Study of an Eco-driving Project

Detection of Municipal Heat Plan Documents Using Semantic Recognition Methods

Digital Twin Technology and Energy Simulations

Challenges in Transitioning from Co-Simulation to Practical Application A Case Study on Economic Emission Dispatch in a Greenhouse Compartment

Multi Agent Based Simulation for Investigating Centralized Charging Strategies and their Impact on Electric Vehicle Home Charging Ecosystem

Leveraging Digital Twins for Sustainable District Heating A Study on Waste Heat from Power to X Plants

Hardware in the Loop Based Validation of Distribution System Control Applications with Grid Operators Customer and Market Participants

Geospatial Semantic Enriched Digital Twin with Logical Reasoning Rules for Managing Control Loops

Data Driven Digital Twin for Foundry Production Process Facilitating Best Practice Operations Investigation and Impact Analysis

Energy data and consumer behaviors

Automation level taxonomy for time series forecasting services Guideline for real world smart grid applications

Enhanced Consumer Segmentation through Load Profile Analysis Using Auto encoder and K shape Cluster

Occupants experiencing energy poverty Where are they in energy datasets and Time Use Surveys

Extracting Daily Aggregate Load Profiles from Monthly Consumption

Digitalization of District Heating and Cooling Systems

Digitalization of District Heating Transforming Heat Networks for a Sustainable Future

Fault detection in district heating substations overview of real life faults in residential heating installations

Multi agent based modeling for investigating excess heat utilization from electrolyzer production to district heating network.

Notes:

Includes bibliographical references and index.

ISBN:

9783031747380

3031747380