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Improving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization

In October 2014, the EU leaders agreed upon three key targets for the year 2030: a reduction by at least 40% in greenhouse gas emissions, savings of at least 27% for renewable energy, and improvements by at least 27% in energy efficiency. The increase in computational power combined with advanced mo...

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Bibliographic Details
Main Author: Deschrijver, Dirk
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Big Data Process
Machine Learning
Ant Colony Optimization
Heating Power Distribution
V–i Trajectory
Fracturing Roofs To Maintain Entry (frme)
Strata Movement
Forecasting
N/a
Design
Heat And Mass Transfer
Energy Consumption
Energy Efficiency
Field Measurement
Appliance Classification
Modelling
Weighted Recurrence Graph
Optimization Method
Range
Side Abutment Pressure
Regional
Technology: General Issues / Bicssc
Predictive Maintenance
Heat Load Reduction
Passive House
Fuel
Turbo-propeller
Non-intrusive Load Monitoring
Anti-icing
Heat Transfer Coefficient
Clustering
Numerical Simulation
Manufacturing
Prediction
Smart Intelligent Systems
Energy
Neural Methods
Thermal Improved Of Buildings
Meta-heuristics
Building Energy Consumption
Recurrence Graph
Weight
Enclosure Structure
Multi-objective Combinatorial Optimization
Experimental Validation
Building Load Forecasting
Energy Baselines
Convolutional Neural Network
Appliance Feature
Co2 Reduction
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:In October 2014, the EU leaders agreed upon three key targets for the year 2030: a reduction by at least 40% in greenhouse gas emissions, savings of at least 27% for renewable energy, and improvements by at least 27% in energy efficiency. The increase in computational power combined with advanced modeling and simulation tools makes it possible to derive new technological solutions that can enhance the energy efficiency of systems and that can reduce the ecological footprint. This book compiles 10 novel research works from a Special Issue that was focused on data-driven approaches, machine learning, or artificial intelligence for the modeling, simulation, and optimization of energy systems.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (201 p.)
ISBN:books978-3-0365-1206-8
9783036512068
9783036512075

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