Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks.
Nebojsa BacaninLuka JovanovicMiodrag ZivkovicVenkatachalam KandasamyMilos AntonijevicMuhammet DeveciIvana StrumbergerPublished in: Inf. Sci. (2023)
Keyphrases
- metaheuristic
- recurrent neural networks
- neural network
- feed forward
- optimization problems
- genetic algorithm
- tabu search
- simulated annealing
- ant colony optimization
- scatter search
- search space
- path relinking
- optimal solution
- combinatorial optimization
- particle swarm optimization
- vehicle routing problem
- energy consumption
- iterated local search
- artificial neural networks
- nature inspired
- solution space
- back propagation
- evolutionary algorithm
- ant colony optimization metaheuristic
- guided local search
- set of benchmark instances
- benchmark instances
- prediction model
- regression model
- variable neighborhood search
- hybrid metaheuristic
- harmony search
- multi start
- metaheuristic algorithms
- fuzzy logic
- knapsack problem
- feasible solution
- cost function