ENHANCED ABC-LSSVM FOR ENERGY FUEL PRICE PREDICTION

LSSVM-ABC Algorithm for Stock Price prediction

In this paper, Artificial Bee Colony (ABC) algorithm which inspired from the behavior of honey bees swarm is presented. ABC is a stochastic population-based evolutionary algorithm for problem solving. ABC algorithm, which is considered one of the most recently swarm intelligent techniques, is proposed to optimize least square support vector machine (LSSVM) to predict the daily stock prices. The...

Forecasting Fossil Fuel Energy Consumption for Power Generation Using QHSA-Based LSSVM Model

Accurate forecasting of fossil fuel energy consumption for power generation is important and fundamental for rational power energy planning in the electricity industry. The least squares support vector machine (LSSVM) is a powerful methodology for solving nonlinear forecasting issues with small samples. The key point is how to determine the appropriate parameters which have great effect on the ...

LSSVM parameters tuning with enhanced artificial bee colony

To date, exploring an efficient method for optimizing Least Squares Support Vector Machines (LSSVM) hyperparameters has been an enthusiastic research area among academic researchers. LSSVM is a practical machine learning approach that has been broadly utilized in numerous fields. To guarantee its convincing performance, it is crucial to select an appropriate technique in order to obtain the opt...

Fuel Price Policies

Energy Price Analysis of a Biomass Gasification-Solid Oxide Fuel Cell-Gas Turbine Power Plant

In this study, effect of energy price on the development of a biomass gasification-solid oxide fuel cell-gas turbine hybrid power plant has been considered. Although, these hybrid systems have been studied based on sustainable approaches, economic aspects, specifically conventional energy prices, which are the principal bottleneck for the development of these new power generators, have attracte...