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Renewable energy in action: Examples and use cases for fueling the future

IBM Big Data Hub

As more countries, companies and individuals seek energy sources beyond fossil fuels, interest in renewable energy continues to rise. In fact, world-wide capacity for energy from solar, wind and other renewable sources increased by 50% in 2023. What is renewable energy? trillion in 2023. trillion in 2023.

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Examples and uses of GIS

IBM Big Data Hub

Urban planning Governments use GIS data and GIS-based solutions for urban planning: zoning and land use projects, natural disaster and health event response, roadway system and building design, utility distribution, energy production, and waste and resource management.

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Will generative AI make the digital twin promise real in the energy and utilities industry?

IBM Big Data Hub

For example, heat maps can show where in the electricity network bottlenecks may occur due to an expected heat wave caused by intensive air conditioning usage (and how these could be addressed by intelligent switching). Consider some of the examples of use cases from our clients in the industry: Visual insights.

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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

We believe there are three core areas that every organization should focus on: sustainability strategy and reporting; energy transition and climate resilience; and intelligent asset, facility and infrastructure management. These models also help estimate where carbon is stored, how long it will take to degrade, and more.

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The advantages and disadvantages of renewable energy

IBM Big Data Hub

New developments in renewable energy are making headlines and inspiring hope in communities worldwide, from a remote Arctic village working to harness solar and wind power under challenging conditions to a U.S. Air Force base planning an advanced, utility-scale geothermal power system. Let’s take a look at both.

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5G use cases that are transforming the world

IBM Big Data Hub

Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer. As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially.

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Climate change predictions: Anticipating and adapting to a warming world

IBM Big Data Hub

For instance, when utility officials are aware that a heat wave is on its way, they can plan energy procurement to prevent power outages. 3 While the transition from fossil fuels to clean, renewable energy sources is already underway, accelerating this transition could help further limit emissions, even amid rising global energy needs.