Consumption Prediction on Steam Power Plant Using Data Mining Hybrid Particle Swarm Optimization (PSO) and Auto Regressive Integrated Moving Average (ARIMA).
Rinaldi RusliAchmad Nizar HidayantoYova RuldeviyaniPublished in: IWBIS (2019)
Keyphrases
- moving average
- power plant
- hybrid particle swarm optimization
- data mining
- autoregressive
- soft computing
- particle swarm optimization pso
- pso algorithm
- exponential smoothing
- arima model
- nature inspired
- hybrid algorithm
- data clustering
- historical data
- particle swarm optimization
- decision support system
- knowledge discovery
- fault diagnosis
- cluster analysis
- data mining techniques
- genetic algorithm ga
- association rules
- neural network
- machine learning
- data analysis
- particle swarm optimization algorithm
- swarm intelligence
- fitness function
- ant colony optimization
- artificial neural networks
- long term
- expert systems
- global optimization
- computational intelligence
- denoising
- least squares
- simulated annealing
- decision making
- genetic algorithm
- semi supervised
- fuzzy logic
- optimization algorithm