Energy consumption prediction using machine learning; a review

A Mosavi, A Bahmani - 2019 - preprints.org
Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

Binary Bitwise Artificial Bee Colony as Feature Selection Optimization Approach within Taguchi's T‐Method

N Harudin, F Ramlie… - Mathematical …, 2021 - Wiley Online Library
Taguchi's T‐Method is one of the Mahalanobis Taguchi System‐(MTS‐) ruled prediction
techniques that has been established specifically but not limited to small, multivariate …

Multi-objective optimization for gymnasium layout in early design stage: Based on genetic algorithm and neural network

Z Fan, M Liu, S Tang, X Zong - Building and Environment, 2024 - Elsevier
The layout of gymnasium directly affects environment performance. The current methods are
insufficient to provide quantified decision support for gymnasium layouts in the early design …

[PDF][PDF] Research Article Binary Bitwise Artificial Bee Colony as Feature Selection Optimization Approach within Taguchi's T-Method

N Harudin, F Ramlie, WZAW Muhamad… - 2021 - academia.edu
Taguchi's T-Method is one of the Mahalanobis Taguchi System-(MTS-) ruled prediction
techniques that has been established specifically but not limited to small, multivariate …

Software-modeling complex for automation tests of low and medium power turbo electric tests

B Kavalerov, G Kilin… - E3S Web of Conferences, 2019 - e3s-conferences.org
There are many problems connected with use of gas turbine units for electricity generation.
The main problem is the gas turbine unit inefficient operation as a synchronous generator …