Energy
Wind energy & intelligent control
Forecasting and control methods for wind turbines and wind farms.
AI FOR SUSTAINABLE SYSTEMS
Intelligence for
a more sustainable
future.
Connecting trustworthy AI, prediction and control with the challenges of energy and industry.
RESEARCH FOCUS
Better predictions.
More informed decisions.
AI4Sustainability LIMITEDResearch · Engineering · Collaboration
OUR FOCUSSustainable energyIndustrial intelligenceTrustworthy AI
01 / THE COMPANY
Research thinking.
Engineering purpose.
AI4Sustainability LIMITED brings a focus on learning-based prediction, intelligent control and sustainable systems.
Our research direction connects energy, industrial processes and environmental forecasting. We welcome conversations with researchers and industry teams around clearly defined modelling and control challenges.
Discover the research directionsYL
RESEARCH BACKGROUND
Yongxiang Lei
PhD in Mechanical Engineering (Control)
Politecnico di Milano · 2024
Learning-based prediction, soft sensing,
uncertainty and predictive control.
02 / RESEARCH & TECHNOLOGY
Find the direction
that fits your challenge.
Explore by theme. Open a direction to see its methods, useful starting data and a question for collaboration.
Energy
Wave forecasting & marine energy
Short-horizon prediction to support wave-energy control decisions.
Industry
Process intelligence & soft sensing
Estimate hard-to-measure process variables from available measurements.
Climate
Climate & environmental forecasting
Data-driven temperature forecasting with interpretable learning methods.
Industry
Digital twins & surrogate models
Connect physical understanding with models that support rapid decisions.
Trustworthy AI
Trustworthy & interpretable AI
Make model uncertainty and behaviour part of the engineering decision.
Your theme also filters the selected research below.
03 / SELECTED RESEARCH
A foundation in
published research.
Selected work from Yongxiang Lei’s individual research background.
These are research contributions, not company client projects or commercial delivery claims.
Learning-Based Prediction and Soft Sensing for Process Industries
A research monograph connecting learning-based prediction with process-industry soft sensing.
Yongxiang Lei · first author
Climate forecasting with KAN
Research on Kolmogorov–Arnold networks for temperature forecasting using the UK CET dataset.
Individual research background
Wave prediction for predictive control
Diffusion and LSTM-based wave forecasting in the context of wave energy converter control.
Individual research background
04 / START A CONVERSATION
Bring a challenge.
Explore it together.
Share the question, the data you have and the outcome you want to understand. A useful collaboration starts with a clear problem.
COLLABORATION CONTACT
Yongxiang Lei
A company contact email has not yet been confirmed. Prepare a brief here to copy or download for your discussion.LET’S DEFINE THE QUESTION
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