Machine learning

Engineering

Artificial intelligence

Power (physics)

Smart grid

Stability (learning theory)

Physics

Term (time)

Geography

Quantum mechanics

Electric power system

Data mining

Voltage

Computer science

Electrical load

Geodesy

Time series

Benchmark (surveying)

Electrical engineering

Dynamic mode decomposition

Data-driven

Applied Energy

The electric load forecasting is extremely important for energy demand management, stability and security of power systems. A sufficiently accurate, r…

A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model