Big Data & Advanced Analytics in Power Sector
Are you effectively overseeing your energy costs? Is your machinery and plant infrastructure achieving peak energy efficiency? Are you maximizing the utilization of your raw materials?
Predictive Customer Analytics
Customizing & running tailored simulations on customer data and their load profiles. Aims to predict segmentation for targeted rate design & effectively reduce customer churn.
Forecasting Module:
Tailor models at meter and sub-hour levels, enabling precise customization for informed decision-making across load, renewable energy, pricing, demand, billing according to usage and energy storage.
Tariff Designing Interface:
Input variables, view historical data, trends via specialized interface. Use sliders, filters, visuals to understand tariff impact, refine strategies.
Asset Fault & Anomaly Detection
Our clear analytics visualizations can enable you to swiftly detect, diagnose issues or predict faults, fostering efficient decision-making.
Advanced Asset Management & Infrastructure Planning:
Use advanced analytics for asset management, risk assessment, site optimization, and emergency response. Geospatial analytics for efficient power plant and wind farm placement, improving infrastructure.
Dive into our solutions powered by Exascale AI
Unlocking profound insights for enhanced energy management. Enhance your energy strategies using our advanced forecasting module.
What is the Role of AI and Advanced Analytics in Energy Sector?
Digital Transformation
AI is enabling the rapid digitalisation of the energy sector by analyzing massive amounts of unstructured & complex data collected from sensors, smart meters, and various other sources to actionable insights. The collection of this data and analysis of this creates a framework to train AI/ML algorithms.
Forecasting Capabilities
Accurate forecasting is pivotal for determining and matching supply with demand, especially in the realm of renewables, electric vehicle (EV) charging stations to residential solar installations etc. Incentivising consumers with AI to adjust energy usage reduces pressure on the grid and promotes sustainability. Forecasting extends beyond predicting pricing and demand trends, encompassing the identification of potential growth areas and outliers within the energy landscape.
Resource Management
AI optimizes resource management, ensuring efficient control and sustainable power supply. It analyzes energy data, identifies inefficiencies, and recommends optimization strategies for factories and businesses. Additionally, AI-powered smart home systems learn usage patterns, automatically adjusting energy consumption based on occupancy and preferences, covering heating, cooling, and lighting.
Failure Prevention
AI excels in proactive failure prevention by analyzing data for patterns and trends. It preemptively identifies potential issues, leveraging SCADA, maintenance, and budget data to proactively prevent shortages or grid failures. Additionally, AI can detect vulnerabilities in power grids, utilizing historical data and climate models for accurate predictions, thus ensuring economic benefits.
Revolutionizing Predictive Analytics for Renewables
AI revolutionizes renewable energy analytics, pinpointing optimal areas for application in wind and solar development. It optimizes energy output, facilitates real-time monitoring and optimization of renewable assets, balances grid by maximizing their output and minimizing downtime, for a reliable power supply.
Digital Transformation
Forecasting Capabilities
Resource Management
Failure Prevention
Revolutionizing Predictive Analytics for Renewables