Intelligent Optimization Modelling in Energy Forecasting

• Váldodahkki: Hong, Wei-Chiang (auth)
• Materiálatiipa: Elektrovnnalaš Girjji oassi
• Giella: eaŋgalasgiella
• Almmustuhtton: MDPI - Multidisciplinary Digital Publishing Institute 2020
• Fáttát: Computer science; Ensemble Empirical Mode Decomposition; Brain Storm Optimization; asset management; institutional investors; state transition algorithm; kernel ridge regression; energy price hedging; multi-objective grey wolf optimizer; five-year project; complementary ensemble empirical mode decomposition (CEEMD); active investment; portfolio management; Long Short Term Memory; time series forecasting; LEM2; improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN); feature selection; Markov-switching GARCH; condition-based maintenance; substation project cost forecasting model; Gaussian processes regression; deep convolutional neural network; individual; wind speed; empirical mode decomposition (EMD); crude oil prices; artificial intelligence techniques; intrinsic mode function (IMF); multi-step wind speed prediction; support vector regression (SVR); short term load forecasting; energy futures; General Regression Neural Network; metamodel; sparse Bayesian learning (SBL); commodities; ensemble; comparative analysis; crude oil price forecasting; electrical power load; differential evolution (DE); fuzzy time series; kernel learning; short-term load forecasting; data inconsistency rate; renewable energy consumption; long short-term memory; energy forecasting; modified fruit fly optimization algorithm; forecasting; combination forecasting; Markov-switching; weighted k-nearest neighbor (W-K-NN) algorithm; hybrid model; interpolation; particle swarm optimization (PSO) algorithm; regression; diversification
• Liŋkkat: DOAB: download the publication; DOAB: description of the publication

Accurate energy forecasting is important to facilitate the decision-making process in order to achieve higher efficiency and reliability in power system operation and security, economic energy use, contingency scheduling, the planning and maintenance of energy supply systems, and so on. In recent de...