Cloudforest Technologies

Engineering Consultancy specialising in data-driven modelling and machine learning (digital twins) for power, energy, and propulsion applications. We have a track-record of delivering complex analytics projects that deliver significant customer value and utilise opportunities created by connected assets, data and ML technologies. We've delivered a number of complex data projects for organisations in the UK and internationally, in sectors including CHP power generation, low-carbon powertrains, distributed energy storage and EV charging. Specialities: • Power, propulsion and energy systems modelling (Python, MATLAB, Siemens Amesim) • Developing data-driven models of various propulsion, generation and storage technologies including ICE, CCGT, CHP, Solar, Wind, BESS, CAES and EV charging • Advanced analysis of large, complex datasets (Sklearn, Pandas, NumPy) • Visualising and explaining data (Matplotlib, Seaborn, Power BI) • Developing machine learning and deep learning models (Sklearn, TensorFlow, Keras, PyTorch) • Building multi-purpose (monitoring, prediction, optimisation) digital twins of physical assets • Deploying ML solutions to the cloud (Azure, AWS)