Big Data Analytics

Smarter energy

Share this post:

Special Issue of the IBM Journal of Research and Development

Current issue of IBM Journal of R&D

Large amounts of data are transforming industries, and this has a particularly important and significant effect in the energy domain. Energy stands at the nexus of areas relating to the environment, economic development, and national security. This crucial industry is also positioned at the tipping point of multiple disruptive trends.

As noted by our guest editors IBM Fellow Chandu Visweswariah, director of the IBM Smarter Energy Research Institute, and Brad Gammons, Jr., general manager of IBM’s Global Energy and Utilities Industry, we also face an unprecedented amount of uncertainty in planning, managing, and orchestrating energy systems. For example, consider weather uncertainty, uncertainty in supply and demand, intermittency due to renewable energy adoption, an uncertain regulatory environment, and uncertainty in energy prices.

At the same time, we are drowning in data from SCADA (Supervisory Control And Data Acquisition) instrumentation, PMUs (Phasor Measurement Units), and smart meters—along with exogenous data like weather characteristics, energy usage, customer needs, vegetation characteristics, soil data, and so on. When curated and mined with the appropriate analytics, this data will help the industry to transition to clean energy, increase customer awareness and participation, and improve the resilience and efficiency of our energy systems.

This issue is devoted to the innovative application of cutting-edge analytics in the energy domain. A collection of 11 papers represent state-of-the-art tools that are delivering significant value in utilities around the world. This body of work demonstrates the importance of such topics to IBM as well the importance of analytics in the energy sector. IBM Research, in all its global labs, has embraced deep domain knowledge and industry eminence in the energy space, leading to innovations that are not just useful in the “back office,” but that will prove essential to the day-to-day operations of energy companies.

Clifford A. Pickover
Editor-in-Chief
IBM Journal of Research and Development

 

More stories

Using SecDevOps to design and embed security and compliance into development workflows

IBM Research has initiated focused efforts called Code Risk Analyzer to bring security and compliance analytics to DevSecOps. Code Risk Analyzer is a new feature of IBM Cloud Continuous Delivery, a cloud service that helps provision toolchains, automate builds and tests, and control quality with analytics.

Continue reading

Gauteng Province Launches COVID-19 Dashboard Developed by IBM Research, Wits University and GCRO – Now Open to the Public

The Gauteng Province has been using data and cloud technologies to monitor and respond to Covid-19, and now they are sharing access with the public. As of 20 August the Gauteng Province in South Africa has 33% of the national cases for COVID-19 with 202,000 confirmed cases — and the numbers continue to rise. To address […]

Continue reading

IBM Research and the Broad Institute Seek to Unravel the True Risks of Genetic Diseases

In 2019, IBM and the Broad Institute of MIT and Harvard started a multi-year collaborative research program to develop powerful predictive models that can potentially enable clinicians to identify patients at serious risk for cardiovascular disease (1, 2). At the start of our collaboration, we proposed an approach to develop AI-based models that combine and […]

Continue reading