Abstract: Accurate load prediction plays a major role in devising effective power system control strategies. Successful prediction systems often use machine ...
Grammatical evolution is used to evolve an initial population of well performing individuals, which are subsequently mapped to feature subsets derived from ...
Bibliographic details on A Hybrid Feature Selection and Generation Algorithm for Electricity Load Prediction Using Grammatical Evolution.
A hybrid feature selection and generation algorithm for electricity load prediction using grammatical evolution. AM De Silva, F Noorian, RIA Davis, PHW Leong.
A hybrid feature selection and generation algorithm for electricity load prediction using grammatical evolution. AM De Silva, F Noorian, RIA Davis, PHW Leong.
The oldest and simplest of these algorithms is the genetic algorithm (GA), which optimises a vector of binary variables. In this vignette, when referring to GA, ...
By using Gramatical Evolution techniques, this paper presents a methodology for the generation of temperature models for data centers and the runtime prediction ...
A number of feature selection criteria are investigated and a hybrid feature generation and selection algorithm using grammatical evolution is proposed. The ...
Leong, A Hybrid Feature Generation and Selection Algorithm for Electricity Load. Prediction using Grammatical Evolution, In 12th IEEE International Conference.
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A number of feature selection criteria are investigated and a hybrid feature generation and selection algorithm using grammatical evolution is proposed.