Multi-Objective Residential Electricity Scheduling Based on Forecasting Generation and Demand via LSTM.
Jan Timo MeyerLouis-André AgrofoglioJoris ClementQiyi LiuOgun YurdakulSahin AlbayrakPublished in: ISGT-Europe (2020)
Keyphrases
- multi objective
- demand forecasting
- electricity markets
- multiple objectives
- electricity consumption
- forecasting accuracy
- evolutionary algorithm
- unit commitment
- short term
- optimization algorithm
- multi objective optimization
- electric power
- load forecasting
- energy saving
- wind power
- historical data
- renewable energy sources
- genetic algorithm
- market clearing
- scheduling problem
- multi objective optimization problems
- long term
- energy consumption
- resource allocation
- forecast models
- nsga ii
- scheduling algorithm
- power generation
- supply chain
- pareto optimal
- objective function
- forecasting model
- recurrent neural networks
- real estate
- bi objective
- conflicting objectives
- hybrid model
- market participants
- hurricane katrina
- support vector regression
- simulated annealing
- supply chain management
- project scheduling
- bp neural network
- renewable energy
- neural network model
- stock market
- software agents
- genetic programming
- multi objective evolutionary
- trade off