On predictive maintenance in industry 4.0: Overview, models, and challenges
In the era of the fourth industrial revolution, several concepts have arisen in parallel with this
new revolution, such as predictive maintenance, which today plays a key role in sustainable …
new revolution, such as predictive maintenance, which today plays a key role in sustainable …
Role of digitalization in energy storage technological innovation: Evidence from China
Booming digital technologies have brought profound changes to the energy sector.
Digitalization in energy storage technology facilitate new opportunities toward modernized …
Digitalization in energy storage technology facilitate new opportunities toward modernized …
[HTML][HTML] A systematic review of machine learning techniques related to local energy communities
In recent years, digitalisation has rendered machine learning a key tool for improving
processes in several sectors, as in the case of electrical power systems. Machine learning …
processes in several sectors, as in the case of electrical power systems. Machine learning …
[HTML][HTML] Let's hear it from the cities: On the role of renewable energy in reaching climate neutrality in urban Europe
G Ulpiani, N Vetters, D Shtjefni, G Kakoulaki… - … and Sustainable Energy …, 2023 - Elsevier
Renewable energy sources have emerged globally as a key lever to ensure energy security
and to promote climate mitigation. Cities need to exploit this energy transition, but how they …
and to promote climate mitigation. Cities need to exploit this energy transition, but how they …
IntelliSense technology in the new power systems
The energy and climate crises have accelerated the decarbonization of electric power
systems. An important part of this decarbonization process, along with the incorporation of …
systems. An important part of this decarbonization process, along with the incorporation of …
Short-term wind speed forecasting over complex terrain using linear regression models and multivariable LSTM and NARX networks in the Andes Mountains, Ecuador
G López, P Arboleya - Renewable Energy, 2022 - Elsevier
Wind speed forecasting systems over complex terrain at high altitude are very complex and
conventional forecasting systems are unable to be applied due to wind variability. This study …
conventional forecasting systems are unable to be applied due to wind variability. This study …
Machine learning scopes on microgrid predictive maintenance: Potential frameworks, challenges, and prospects
Predictive maintenance is an essential aspect of microgrid operations as it enables
identifying potential equipment failures in advance, reducing downtime, and increasing the …
identifying potential equipment failures in advance, reducing downtime, and increasing the …
Prospects and challenges of the machine learning and data-driven methods for the predictive analysis of power systems: A review
W Strielkowski, A Vlasov, K Selivanov, K Muraviev… - Energies, 2023 - mdpi.com
The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …
systems offers the potential to accurately predict and manage the behavior of these systems …
Systematic review of deep learning and machine learning for building energy
The building energy (BE) management plays an essential role in urban sustainability and
smart cities. Recently, the novel data science and data-driven technologies have shown …
smart cities. Recently, the novel data science and data-driven technologies have shown …
[HTML][HTML] Systematic review of energy theft practices and autonomous detection through artificial intelligence methods
Energy theft poses a significant challenge for all parties involved in energy distribution, and
its detection is crucial for maintaining stable and financially sustainable energy grids. One …
its detection is crucial for maintaining stable and financially sustainable energy grids. One …