Applicability of Machine Learning to Short-Term Prediction of Changes in the Low Voltage Electricity Distribution Network.
Piotr CoftaTomasz MarciniakKrzysztof PalczynskiPublished in: ICCS (3) (2021)
Keyphrases
- distribution network
- low voltage
- machine learning
- short term
- short term prediction
- ant colony algorithm
- power distribution networks
- supply chain
- traveling salesman problem
- particle swarm
- wind power
- long term
- design considerations
- electric power
- artificial fish
- cmos technology
- learning algorithm
- power management
- electricity markets
- model selection
- wind speed
- computational intelligence
- objective function
- data mining
- optimization method
- mathematical model
- genetic programming
- power generation
- low cost
- neural network