Man using smart home app on smartphone. Smart home, house automation remote control concept.

Even the most mundane devices have become smart enough to predict our needs and give us a chance to correct our mistakes. If only they were also smart enough to protect our data. Thanks to the Internet of Things, you can buy a thermostat that learns your habits and warms the house before you come home. You can install light switches that turn themselves off when you’re not around. Internet-connected appliances can also help us

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Wind is one of the cleanest and most sustainable ways to generate electricity, but the variable nature of wind makes it difficult to incorporate into the energy grid. Imprecise wind forecasting systems keep wind power costs unnecessarily high and limit its growth as an energy source. But a Siebel Energy Institute-supported research project, Novel Physically-Driven Approaches for Multi-Scale Wind-Energy Forecasting, has made significant progress toward developing more reliable wind forecasting models. A dynamic wind-energy forecasting

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Leading experts in energy, cybersecurity, and government policy will examine threats to the power grid and devise solutions for increasing the resilience of energy networks and other critical infrastructure at the 11th Siebel Scholars conference.

Government leaders, energy researchers, and cybersecurity experts from the U.S., Europe, and Asia are coming together for a three-day conference that aims to make critical infrastructure more secure. The conference, Energy Grid Cybersecurity: Threats & Solutions, is co-sponsored by the Siebel Energy Instituteand the Siebel Scholars Foundation, and will be held in Washington, D.C., from Friday, March 3 through Sunday, March 5, 2017. The conference program will focus on the frequency, nature, sources, and potential impact of cyberattacks

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A data analysis of energy consumption in Kenya, by a Siebel Energy Institute research team, will provide policymakers and grid planners in Kenya with the tools to improve electrification programs and ensure that reliability keeps pace with projected demand. (Image credit: : iStock/miroslav_1)

Nearly 70% of the population in Kenya is currently without access to a power grid, but that number is decreasing by the day as electricity networks in the country rapidly expand. Kenya’s situation in not unique. An estimated 600 million people in Sub-Saharan Africa live without electricity and most of the growth in energy demand is forecast to come from the developing world. A data analysis of energy consumption in Kenya, by a Siebel Energy

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Businesspeople Using Technology In Busy Lobby Area Of Office

With support from the Siebel Energy Institute, an international team of researchers is using social media to analyze how people experience comfort indoors. This data about how people feel when they are in a building, will help building managers manage heating and cooling systems more efficiently. By combining data on the actual conditions inside buildings with social media posts, the researchers hope to learn more about individuals’ perceptions and expectations of physical comfort. For example, a visitor

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Algorithms developed with support from the Siebel Energy Institute will help power companies fully implement energy-saving Conservation Voltage Reduction (CVR) mechanisms.

According to the U.S. Energy Information Administration, about 6 percent of the electricity generated in the United States gets lost due to inefficiencies in the power grid. For more than 30 years, utilities have experimented with Conservation Voltage Reduction (CVR), a mechanism that enables them to slightly drop voltage on the grid and reduce power consumption without sacrificing performance. Full implementation of CVR can produce tremendous energy savings—almost 3.04% nationwide, according to the U.S. Department

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A new machine learning model, produced with support from the Siebel Energy Institute, makes co-gen plants substantially more efficient – saving both natural resources and reducing carbon dioxide (CO2) emissions.

A Siebel Energy Institute Project led by Laurent E Ghaoui, a professor of electrical engineering and computer science at the University of California, Berkeley, has demonstrated how machine learning algorithms can make energy production more efficient at cogeneration power plants. Across the globe, local cogeneration, or “co-gen” plants provide electricity and heat to specific areas, like a neighborhood or part of a city. Known for being efficient, these individually managed systems burn fossil fuels to heat

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With support from the Siebel Energy Institute, a team of scientists from the University of Illinois Urbana-Champaign (UIUC) has developed algorithms that identify energy usage patterns that are indicative of electricity theft. (Image credit: Portland General Electric)

With support from the Siebel Energy Institute, a team of scientists from the University of Illinois Urbana-Champaign (UIUC) developed algorithms that help utility companies zero in on electricity thieves. For almost as long as electricity has been around, people have been stealing it. Today, the majority of electricity theft is committed by an individual at their home or small business, where they either siphon power from another line or tamper with their meter. Electricity theft is

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A row of washing machines for sale in a store.

A new study supported by the Siebel Energy Institute reveals why consumers need to consider combined water and energy use when deciding which household appliances to upgrade for increased efficiency. The cost benefits of energy efficient appliances and water efficient fixtures are pretty well understood by most Americans. Switch to an energy efficient refrigerator and your electricity bill should go down. Install a low-flow toilet and your water bill should go down. But a new study supported

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A research team from the University of Illinois at Urbana-Champaign has been developing a network solution that enhances power grid cybersecurity by making grids more agile, and therefore more resilient to failure. As a fundamental part of modern smart grid infrastructure, a communication network connects massive grid devices over vast geographic areas to support the grid’s supervisory control and data acquisition (SCADA) system, which  enables continuous energy delivery. Routers and switches in power grid communication networks direct

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