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Energy Efficiency

How to maximize energy efficiency with Machine Learning. Productize custom machine learning applications for better energy efficiency. Improve energy efficiency with energy-intelligent machine learning models.

Keeping costs aligned with budgets is often tough for industrial operators. ForePaaS allows you to monitor your energy consumptions and identify savings using tailor-made data applications and effective alert systems.

Environmental and economic constraints

For many industrial operators, on-site energy consumption like fuel, oil, electricity, or lubricant is a major expense. Since the beginning of the 21st century, energy costs have only increased, and although it may swing over a period, it makes up a significant proportion of their operating costs.

On top of that, it has become a real ecological challenge to address, as more and more regulations and norms pile up and as the public awareness over pollution and climate change grows.

Energy efficiency, which is called by some the “fifth fuel” – after coal, gas, nuclear, and renewables (*) has made it critical for companies to gain visibility into their energy expenditure and be able to prioritize efficiently cost-reduction measures.

The energy sector, which is generally regarded as conservative, has undertaken significant technological and organizational changes in the last few years. They are now ready and already driving innovative changes through AI and data science initiatives.

*According to 2015 McKinsey Global Institute report on Technologies that could transform how industries use energy

Current limitations to smart energy

Having considered the opportunities, potential obstacles are still numerous, but not limited to:

  • Data is often fragmented and heterogeneous, coming from different systems that run on-premise and are not compatible with each other:
    • Industrial tools (ERP, OEM, FSM…)
    • IoT sensors
    • Vehicles…
  • Data requires extensive reprocessing work to be used
  • Work environments are often outdated and in remote areas with low connectivity

Organizations going towards energy efficiency also need to consider the scalability of the services they aim to create, as it involves equipping many users with customized analytics tools.

One platform for all your energy efficiency challenges

The ForePaaS Platform helps leading energy companies to rapidly integrate and consolidate data from different enterprise systems, external providers, and IoT networks to feed machine learning models specific to the energy market.

Run them in production at enterprise scale to:

  • Enable decision-making support on energy purchases
  • Identify potential savings
  • Detect earlier consumption anomalies or frauds

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ForePaaS is happy to announce it has been acquired by OVHcloud, the European leader in cloud computing, to expand its Analytics and AI capabilities. 🎉   Read press release