Swarm-based hybrid optimization algorithms: an exhaustive analysis and its applications to electricity load and price forecasting

R Kottath, P Singh, A Bhowmick - Soft computing, 2023 - Springer
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 …

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 …

A novel influencer mutation strategy for nature-inspired optimization algorithms to solve electricity price forecasting problem

P Singh, R Kottath - Advances in Computers, 2024 - Elsevier
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 …

Bagged Artificial Neural Network for Electricity Price Forecasting

P Singh, SSSK Kongara, SV Ramineni… - 2024 15th …, 2024 - ieeexplore.ieee.org
Electricity price forecasting (EPF) is essential for energy companies to make informed
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 …