From DevOps to MLOps: Overview and application to electricity market forecasting
In the Software Development Life Cycle (SDLC), Development and Operations (DevOps)
has been proven to deliver reliable, scalable software within a shorter time. Due to the …
has been proven to deliver reliable, scalable software within a shorter time. Due to the …
Machine learning in weather prediction and climate analyses—applications and perspectives
In this paper, we performed an analysis of the 500 most relevant scientific articles published
since 2018, concerning machine learning methods in the field of climate and numerical …
since 2018, concerning machine learning methods in the field of climate and numerical …
A review for green energy machine learning and AI services
Y Mehta, R Xu, B Lim, J Wu, J Gao - Energies, 2023 - mdpi.com
There is a growing demand for Green AI (Artificial Intelligence) technologies in the market
and society, as it emerges as a promising technology. Green AI technologies are used to …
and society, as it emerges as a promising technology. Green AI technologies are used to …
[HTML][HTML] AI Documentation: A path to accountability
F Königstorfer, S Thalmann - Journal of Responsible Technology, 2022 - Elsevier
Artificial Intelligence (AI) promises huge potential for businesses but due to its black-box
character has also substantial drawbacks. This is a particular challenge in regulated use …
character has also substantial drawbacks. This is a particular challenge in regulated use …
Novel mode adaptive artificial neural network for dynamic learning: application in renewable energy sources power generation prediction
A reasonable dataset, which is an essential factor of renewable energy forecasting model
development, sometimes is not directly available. Waiting for a substantial amount of training …
development, sometimes is not directly available. Waiting for a substantial amount of training …
A survey on advanced machine learning and deep learning techniques assisting in renewable energy generation
B Sri Revathi - Environ Sci Pollut Res, 2023 - Springer
The sustainability of the earth depends on renewable energy. Forecasting the output of
renewable energy has a big impact on how we operate and manage our power networks …
renewable energy has a big impact on how we operate and manage our power networks …
[HTML][HTML] An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression
C Peláez-Rodríguez, R Torres-López… - Computer Methods and …, 2024 - Elsevier
Abstract Background and Objective In the last years, the Emergency Department (ED) has
become an important source of admissions for hospitals. Since late 90s, the number of ED …
become an important source of admissions for hospitals. Since late 90s, the number of ED …
Hierarchical energy management system with a local competitive power market for inter-connected multi-smart buildings
The energy management in new distribution paradigms are amongst one of core research
dimension, particularly in smart grids. This paper proposes a hierarchical energy …
dimension, particularly in smart grids. This paper proposes a hierarchical energy …
An intelligent hybrid energy management system for a smart house considering bidirectional power flow and various EV charging techniques
Compelled by environmental and economic reasons and facilitated by modern technological
advancements, the share of hybrid energy systems (HES) is increasing at modern smart …
advancements, the share of hybrid energy systems (HES) is increasing at modern smart …
Comparative assessment of regression techniques for wind power forecasting
Considering the escalating rates of exhaustion of non-renewable energy resources, coupled
with the harmful environmental side effects of harnessing them (eg damage to public health …
with the harmful environmental side effects of harnessing them (eg damage to public health …