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Electricity demand forecasting for decentralised energy management
Sean Williams
,
Michael Short
School of Computing, Engineering & Digital Technologies
SCEDT Engineering
Centre for Sustainable Engineering
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Article
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peer-review
346
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Dive into the research topics of 'Electricity demand forecasting for decentralised energy management'. Together they form a unique fingerprint.
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Keyphrases
Chronological Sequence
50%
Control Framework
50%
Decarbonization
50%
Decentralization
50%
Decentralized Energy Management
100%
Demand Data
50%
Demand Forecasting
50%
Demand Response Resource
50%
Demand Side
50%
Dimensionality Reduction
50%
Discrete Observations
50%
Distributed Grid
50%
Distributed Power Generation
50%
Drivers for Change
50%
Edge System
50%
Electrical Power System
50%
Electricity Demand Forecasting
100%
Electricity Network
50%
Energy Consumption
50%
Energy Data
50%
Energy Demand
50%
Energy Planning
50%
Energy Systems
50%
Forecasting Problem
50%
Forecasting Techniques
100%
Fossil Fuels
50%
Fourth Industrial Revolution
50%
Futures Rates
50%
Generation Power
50%
Grid Edge
50%
Highly Effective
50%
Historical Demand
50%
Inertia Energy
50%
Informatics
50%
Low Inertia
50%
Lumped Model
50%
Main Drivers
50%
Medium-term Forecast
50%
Network Operator
50%
Optimization Framework
50%
Piecewise Linear Interpolation
50%
Potential Adoption
50%
Power Grid System
50%
Power Plant
100%
Rapid Development
50%
Real-time Demands
50%
Regional Electricity
50%
Short-term Forecasting
50%
Small Island Power System
50%
Smart Infrastructure
50%
State-owned Companies
50%
Technology Development
50%
Engineering
Data Show
33%
Demand Forecasting
100%
Demand Side
33%
Dimensionality Reduction Technique
33%
Discrete Observation
33%
Distributed Power Generation
33%
Electric Power Plant
33%
Electrical Power System
33%
Electricity Demand
100%
Electricity Network
33%
Energy Engineering
66%
Energy Management
100%
Energy Planning
33%
Energy Systems
33%
Fired Power Plant
33%
Fossil Fuel
33%
Network Operator
33%
Power Engineering
33%
Smart Infrastructure
33%
Term Forecast
33%