The energy revolution requires a revolutionized way to distribute energy. Decentralizing from the traditional generation-transmission-distribution (GTD) model, including smart data handling and near real-time quantitative data acquisition, via the internet of things (IoT), puts the consumer in charge. The small-scale and autonomous nature of these grids, in association with the usability of the IoT, provides unique versatility. With the price of solar and wind rapidly declining, the upcoming years will see a steady increase in the global rollout of micro-grids, powered by renewable sources.
Now the Industrial Internet of Things (IIoT) is commonplace within energy sectors. Enterprises understand that the use of IoT devices can transform many parts of their operations. IoT not only connects machines and appliances, but it also allows for more excellent connectivity across entire assets – refineries, pipelines, drilling rigs, grids, and so on – to minimize downtime and optimize performance, while enhancing safety and health and environmental performance management.
With artificial intelligence (AI), electricity markets can be made more efficient and provide energy independence, uniquely when integrated into the energy grid. Using AI’s machine learning capabilities, renewable energy sources such as wind farms can optimize their operations, and it will make them more efficient in how they take in financial resources and generate electricity.
In the wake of the rising importance of energy tech, choosing the right energy tech solution provider becomes crucial. This edition of Energy CIO Insights features companies that are at the forefront of offering energy tech solutions. Energy CIO Insights’ editorial board has assessed and shortlisted some of the most prominent organizations in the industry. We present to you – “Top 10 Energy Tech Solution Providers in APAC – 2019”.