Big Data solutions

Big Data is Changing the Outlook of the Renewable Energy Sector

How Big Data is Changing the Outlook of the Renewable Energy Sector?

The renewable energy sector is facing a significant transformation, and all credit goes to the power of big data. With its capability to gather, store, and analyze an immense amount of data in real-time, big data provides unprecedented insights into how we generate and use energy.

This has allowed companies in the renewable energy sector to create innovative solutions supporting us to adopt and create a more sustainable future.

So, let’s check how big data transforms the renewable energy sector and how the sustainable future will look!

Big data is a term used to describe the immense amount of data that organizations accumulate and analyze to achieve better insights into their operations. It can be sourced from various sections like:

  • Customer feedback
  • Transactional records
  • Sensor readings
  • Social media posts
  • Search queries, etc

All these together form a data set that can be utilized to make the most suitable decisions on the basis of analysis of correlations, ongoing patterns, and trends.

We can simply say that big data is a way to convert raw data into actionable insights, and this is what makes it so powerful.

Let’s know how big data functions

As we have already discussed, big data is utilized to collect and analyze vast amounts of data in real-time. This enables companies to understand consumer activities and behavior while optimizing their processes as well as operations.

Also, the analysis of big data can assist in identifying patterns that are unintentionally ignored. This is how companies are able to discover new opportunities and develop strategies accordingly. Not just this, big data also empowers organizations to get a better insight into their operations. 

For instance, energy companies can keep track of energy usage and identify areas where improvement is needed and efficiency can be enhanced.

Here, we can place the example of Tesla powerwall. It collects data from its solar panels to observe the production and consumption of electricity in real-time. Tesla’s power wall can be utilized to optimize energy usage by offering customers with customized options.

Three ways through which big data is transforming the renewable energy sector

So, at least, we have some knowledge of big data. Now, let’s find out how it is changing the renewable energy sector.

1. Improved Efficiency:

Big data analysis can support companies by identifying areas where efficiency can be enhanced in energy systems. For example, it helps in reducing wastage and optimizing output. This will ultimately improve the entire profitability produced by renewable energy businesses. This supports both seller and buyer as they can save energy costs and use the same to invest in other green-based projects or initiatives.

The skyrocketing cost of traditional energy sources has unveiled the importance of renewable energy. It has made it more attractive, and the involvement of big data can aid in making it more efficient. Big data will not only make renewable energy more feasible but will also make it a more attractive alternative for buyers.

2. Presaging Demand and Supply:

Big data can also be utilized to foretell the demand and supply of renewable energy.

By analyzing historical data, businesses can understand the market pattern and behavior and can easily calculate the present demand for distinct types of renewable energy resources. Therefore, they can change, shift, or adjust their production as per the need. In this way, companies can target a specific customer base, leading to more conversions and ultimately adding more profits. On the other hand, customers will also get whatever they want, so it turns out to be a win-win situation for everyone involved.

Other than predicting demand and supply, big data are also used to forecast weather conditions, which will allow businesses to plan their production of renewable energy resources.

For instance, the Tesla power wall can forewarn the weather conditions and shift energy production consequently.

3. Automation of a few processes:

In the end, we can say that the most significant advantage of having big data in the renewable energy sector is automation. By automating specific processes, organizations can save time as well as resources while making their operations more efficient.

For instance, solar panel systems can be linked to the internet and designed to adjust their output depending on weather conditions on a real-time basis. In this way, consumers can cut down their electricity bills by generating more energy when the sun is shining bright in the sky.

Besides this, companies can also utilize big data to automate the maintenance of their assets involved in renewable energy systems. By tracking and analyzing real-time data, they can interpret any issues and take action before they turn out to be a significant problem in the process.


With rising global temperatures and increasing greenhouse gases in the environment, it has become necessary to bend toward renewable resources for energy generation. The shortage of non-renewable resources and by-products it offers, like pollution, greenhouse gases, etc, is another reason to shift toward renewable energy resources.

In this initiation, the addition of big data is causing an immense impact on the renewable energy sector. It is making renewable energy more efficient by predicting demand and supply and automating a few processes to reduce time and cost. With the advancement of technology, in the coming years, big data will become an integral part of the renewable energy sector and churn the best result while promising a green and sustainable future.

How China, US and Taiwan used Big Data In The Fight Against Coronavirus?

Big data is no new word in today’s tech wrapped world. Today in this corona crisis situation, Big data has emerged as an incomparable tech invention for different purposes.

It is used in the fight against CoronaVirus, thus suggesting the need for the further development of big data and requirement of Big Data analysis for different purposes.

There are many Big data specialist companies delivering Big Data solutions for better approaches to the result.

Countries are tapping into Big data, Internet Of Things and Machine learning to track and identify the outbreak. They are using digital technology to get real-time forecasts and help healthcare professionals and government for predicting the impact of the COVID-19.

Let’s switch back to the real topic we were talking about. Let’s know about the vital role played by Big Data in this COVID-19 fight.

Surveillance Infrastructure In China:

The first in the list is China as it is the place where COVID-19 first case was reported. China’s monitoring culture emerged as a powerful weapon in the fight against COVID-19. China installed thermal scanners in train stations to detect the body temperature and separate the probably infected one. As we know, high fever is the symptom of COVID-19; the passengers showing the symptom were stopped by health officials to undergo coronavirus testing. If the test comes positive, then the administration would alert all other passengers who might have exposure to the virus so that they could follow self-quarantine.

China has installed millions of security camera to keep a track over the citizens’ activities and curb the crime rates. These cameras were used to discover people who were not following the proposed quarantine to stop the spread of the virus.

If a person who was supposed to be in quarantine, but cameras tracked them outside their homes, authorities were called to take appropriate actions.

In fact, the Chinese government also used an app named “Close Contact Detector” that notified users if they had contact with someone who was corona virus-positive.

Travel verification reports/data shared by telecom providers were used to list all the cities visited by the user in the last 14 days to check whether quarantine was recommended based on their location or not.

The integration of data collected by using the surveillance system helped the country in exploring the ways to curb the spread of the coronavirus.

Read More: Will 2020 Be The Transition Phase of Internet Of Things?

Big Data Analytics and Taiwan’s successful pandemic strategy:

After the observation of painful stage in China because of Corona spread, it was expected that Taiwan would be hit harder than China.

But, surprisingly, Taiwan faced the virus havoc very smartly. It used advanced technology and strong pandemic plan, which they prepared after the 2003 SARS outbreak to control the virus’s impact there.

Taiwan has integrated its national health insurance database with migration and custom database. Through this centralisation of data, the country faced the coronavirus strongly. They got real-time alerts regarding the probably infected one on the basis of symptoms & their travel history.

The country even had a QR code scanning and online reporting of travel and health symptoms that helped the medical officials to categorise the travellers’ infection risk. They even provided a toll-free hotline for citizens to report symptoms.

When the first corona case was reported, and WHO informed about the pneumonia of unknown cause in China, Taiwan activated all its warriors, including technology. This quick and active response taken by the country saved it from the severe effect of this fatal disease.

Use of Mobile Apps in Pandemic:

In America and Europe, people’s privacy is the priority still medical researchers and bioethics focused on the power of technology and supported its use for contact tracing in a pandemic.

Oxford University’s Big Data Institute co-operated with government officials to explain the advantages of a mobile app that provides valuable data for controlling coronavirus spread.

As we know, mostly coronavirus transmissions occur before the symptoms are visible thus speed and effectiveness to alarm people had been deemed as supreme during a pandemic like a coronavirus.

Read More: How can IoT be Used to Fight Against COVID-19?

A mobile app that holds the advanced 21st-century technology can help in the notification process while maintaining principles to decelerate the infection spread rate.

In 2011, Tech experts had developed a solution to monitor and track the spread of flu efficiently, but the app wasn’t adopted, thus limited its usage.

Now organisations are working to develop app solutions that can provide a platform where people can self-identify their health status and symptoms.

For the development of such apps, there are many app development companies that offer the most advanced and reliable services.

Corona has not just given us health challenges but also providing necessary learning experiences for data science in healthcare.

In US, the government is conversing with tech hulks like google, Facebook, and many others to know the possibilities for using location data from smartphones to track the movements of its citizens and analyse the patterns.

Dashboard to track the virus spread:

Dashboard is another tool that has been proved helpful for citizens, healthcare workers, and government policymakers to see the progression of contagion and how invasive this virus would be.

Dashboard collects the data from around the world to display the no. of confirmed cases and deaths caused by coronavirus with locations.

This data can be analysed and used to create models and find the existing hotspot of the disease, which could help in proper decision making for the home-quarantine period and help healthcare systems to prepare for the coming challenges.

Outbreak analytics use all the available data like confirmed cases, infected people, deaths, map, population densities, traveller flow etc. and then process it using machine learning for the development of possible patterns of the disease. These models are further used to get the best predictions of the infection rates and results.

Thus, it is obvious that proper use of big data solutions and big data analysis can help countries in this pandemic. Big data, machine learning and other technologies can provide a model and predict the flow of a pandemic. It can analyse data to assist the health officials in preparation for the fight against Corona or any other future pandemics.