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Energy Supply Innovation

Energy Supply Innovation

Demand Management

Demand Management

Automated Peak Management to
Optimise Operation
Efficiency

Automated Peak Management to Optimise Operation Efficiency

Commercial & Industrial Users are under constant pressure to optimise their energy use to decarbonise their operations. While each sector has its own unique challenges and complexities, there is no straightforward formula for facility managers to analyse energy data and manage energy peaks.

Typically, the effectiveness of peak demand management is limited due to the complex evaluation of energy consumption history and external influences. Facility managers need to manually adjust equipment independently. Incorporating artificial intelligence is the way forward to automate peak demand management and achieve operational efficiency.

How does it work?

How does it work?

We are looking into an AI-driven machine learning engine that can effectively analyse historical energy data to generate energy profiles and perform feature engineering to identify external parameters contributing to peak consumption. Utilising this technology, facility managers in the commercial and industrial sectors who pay the tariff according to the peak demand consumption will be able to better manage the demand charge tariff.

Apart from the capability to predict daily peaks, the AI-based algorithm can recommend precise equipment settings for operation sites of different scales and natures to optimise energy efficiency and operational excellence with minimal human interruption.

Features

Features

The AI-driven prediction engine can analyse historical energy load profiles against real-time consumption and weather factors to predict when energy peak will occur and what would be the energy demand.

Based on actual conditions and energy demand, the model shall provide optimal equipment operation and suggestions for commercial and industrial sectors to shift or shave their energy peak effectively.

Operators and managers may view and study their energy profiles through an integrated digital platform that centralises all real-time and historical energy data.

Benefits

Benefits

Peak Demand Management

Automate peak demand management to precisely reduce energy consumption and carbon emissions

Better View of Energy Consumption

Increase the visibility of energy consumption and trends in short time intervals

Real-Time Data Analysis

Achieve operational efficiency driven by real-time data analysis