Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities
The energy industry is at a crossroads. Digital technological developments have the
potential to change our energy supply, trade, and consumption dramatically. The new …
potential to change our energy supply, trade, and consumption dramatically. The new …
[HTML][HTML] Do digital technologies pay off? A meta-analytic review of the digital technologies/firm performance nexus
The adoption of digital technologies (DTs) has become a predominant management practice
in recent years. However, empirical findings on their performance outcomes are mixed and …
in recent years. However, empirical findings on their performance outcomes are mixed and …
Recent advances in machine learning research for nanofluid-based heat transfer in renewable energy system
Nanofluids have gained significant popularity in the field of sustainable and renewable
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …
Convolutional neural network-based power system transient stability assessment and instability mode prediction
Online transient stability assessment (TSA) is vital for power system control as it provides the
basis for operators to decide emergency control actions. But none of previous TSA research …
basis for operators to decide emergency control actions. But none of previous TSA research …
[HTML][HTML] How does artificial intelligence affect high-quality energy development? Achieving a clean energy transition society
As China's energy development undergoes a process from qualitative improvements to
quantitative changes, high-quality energy development (HED) has become a vital strategy of …
quantitative changes, high-quality energy development (HED) has become a vital strategy of …
A graph attention networks-based model to distinguish the transient rotor angle instability and short-term voltage instability in power systems
Digital simulation is significant for the operating mode and control decision-making of power
systems. In the process of simulation data analysis, stability analysis is an essential part …
systems. In the process of simulation data analysis, stability analysis is an essential part …
Digital design of smart museum based on artificial intelligence
B Wang - Mobile Information Systems, 2021 - Wiley Online Library
Today, as the soft power of culture is becoming more and more important, it is very important
to pay attention to the learning and dissemination of culture. As the carrier of this process …
to pay attention to the learning and dissemination of culture. As the carrier of this process …
Can exascale computing and explainable artificial intelligence applied to plant biology deliver on the United Nations sustainable development goals?
Highlights•Plant population-scale multi-omics research is key to develo** sustainable
agriculture.•Explainable artificial intelligence is increasingly applied to advance multi-omics …
agriculture.•Explainable artificial intelligence is increasingly applied to advance multi-omics …
COLREGs-compliant unmanned surface vehicles collision avoidance based on multi-objective genetic algorithm
Autonomous ships or Unmanned Surface Vehicles (USV) collision avoidance and path
planning problems among multi-vessels are investigated in this paper. Firstly, a modified …
planning problems among multi-vessels are investigated in this paper. Firstly, a modified …
Preventive control for power system transient security based on XGBoost and DCOPF with consideration of model interpretability
This paper proposes a new approach for online power system transient security assessment
(TSA) and preventive control based on XGBoost and DC optimal power flow (DCOPF). The …
(TSA) and preventive control based on XGBoost and DC optimal power flow (DCOPF). The …