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Swarm-based hybrid optimization algorithms: an exhaustive analysis and its applications to electricity load and price forecasting
In this work, we intend to propose multiple hybrid algorithms with the idea of giving a choice
to the particles of a swarm to update their position for the next generation. To implement this …
to the particles of a swarm to update their position for the next generation. To implement this …
How Influencers Can Leverage Performance in Business
AT Rosário - Using Influencer Marketing as a Digital Business …, 2024 - igi-global.com
Influencers can indeed use their influence to boost business performance. Influencers and
businesses can work together to market a company's goods or services to their subscriber …
businesses can work together to market a company's goods or services to their subscriber …
A novel influencer mutation strategy for nature-inspired optimization algorithms to solve electricity price forecasting problem
Optimization is an active area of research in the field of soft computing. Over a period,
various nature-inspired optimization algorithms have been proposed to solve complex …
various nature-inspired optimization algorithms have been proposed to solve complex …
Bagged Artificial Neural Network for Electricity Price Forecasting
Electricity price forecasting (EPF) is essential for energy companies to make informed
decisions. The accuracy of price forecasts has become increasingly important as energy …
decisions. The accuracy of price forecasts has become increasingly important as energy …
[PDF][PDF] Diseño de un modelo analítico de pronóstico del precio spot de energía en Colombia
CA García - repository.urosario.edu.co
1 Escuela de Administración Escuela de Ingeniería Ciencia y Tecnología Maestría en Business
Analytics Diseño de un modelo a Page 1 1 Escuela de Administración Escuela de Ingeniería …
Analytics Diseño de un modelo a Page 1 1 Escuela de Administración Escuela de Ingeniería …