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Pavan_Golesar
Active Participant

AI empowing the future of Energy Industry.png

Problem Statement:

In this pivotal moment for the energy industry's sustainability transition, Energy Industries are adopting green practices for sustainability reporting and carbon emission and more but are presented with a range of challenges and opportunities.

Solution:

Digital technologies, notably artificial intelligence (AI), are expected to play a significant role in this transition, enabling the necessary changes for a thriving, sustainability-focused future. With Digital Technology - Generative AI are anticipated to boost these efforts, especially in domains such as customer service and technological innovation of utilities sector.

AI is set to significantly enhance energy efficiency aiding utilities companies; HOW?

Below are few ways AI can contribute to this area (but not just limited to this list):

  1. Customer Service📟: AI-powered chatbots / virtual assistants can enhance customer service (CS) by providing instant support for common queries and issues. This improves customer satisfaction while reducing the workload on human customer service agents.

  2.  Predictive maintenance of machinery🔌:

    Analyze sensor data and predict when maintenance is needed. Early detection of potential problems enables companies to minimize downtime and avert energy waste using AI.

  3. Environmental Impact Assessment🌱: AI could assess the environmental impact of energy generation and consumption. Thus, by analyzing emission data from the same AI can support sustainability initiatives and promote environmentally friendly practices within the energy sector also helping utilities make more informed decisions accordingly.

  4. Energy-Efficient Transportation🚚:

    Route optimization reduces travel time and energy use eventually aiding supply chain optimization. Not to mention the optimization of fuel consumed

  5. Carbon Emission Reduction🌐: AI models predict emissions and suggest mitigation strategies. Eventually optimizing operations, AI indirectly reduces carbon footprint.

  6. AI powered VPP (virtual power plants): A virtual power plant consists of distributed energy resources such as EV chargers, solar panels, etc. AI can orchestrate these resources, creating virtual power plants thereby enhancing grid stability and resilience.

In summary, this small blog post aims to put some light onto AI’s ability to process large datasets, learn patterns, and help make real-time informed decisions makes it a powerful tool thus contributing to a more sustainable future.

My Other Blogs:

  1. Exploring SAP BTP ABAP Environment - Step by Step blog for SAP BTP ABAP Environment (including Eclipse and ABAP instance setup). Its awesome blog with 5 YT series.

  2. SAP BTP ABAP Environment and ADT Troubleshooting Guide | SAP Blogs - SAP BTP ABAP Environment and ADT Troubleshooting Guide

  3. SAP CDS hints annotation & its application in ABAP | SAP Blogs - Hints can be used to influence preparation, optimization, and execution of SQL statements. This blog is a sample demonstration of same.

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Thank you,

Pavan Golesar

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