His primary areas of study are Mathematical optimization, Real-time computing, Renewable energy, Electricity and Wind power. Many of his research projects under Mathematical optimization are closely connected to Initial phase with Initial phase, tying the diverse disciplines of science together. Ram Rajagopal has included themes like Wireless sensor network, Sensor node, Simulation, Statistical model and Ground truth in his Real-time computing study.
His research in Renewable energy focuses on subjects like Production, which are connected to Electricity market, Big data and Market power. His study on Electricity also encompasses disciplines like
Ram Rajagopal spends much of his time researching Mathematical optimization, Electricity, Distributed generation, Artificial intelligence and Grid. His Mathematical optimization study integrates concerns from other disciplines, such as Economic dispatch and Renewable energy. His studies deal with areas such as Energy consumption, Environmental economics and Energy storage as well as Electricity.
His Distributed generation study combines topics in areas such as Smart meter and Power-flow study. His Smart meter study combines topics in areas such as Efficient energy use, Data mining and Topology. His studies deal with areas such as Distributed computing and Flexibility as well as Grid.
His main research concerns Artificial intelligence, Grid, Distributed generation, Machine learning and Electricity. His study in Distributed generation is interdisciplinary in nature, drawing from both Control theory, Reliability engineering, Smart meter, Bidding and Transaction cost. His Smart meter study combines topics from a wide range of disciplines, such as Topology, Metering mode, Nonintrusive load monitoring and Identification.
The Electricity study combines topics in areas such as Electricity demand, Automotive engineering and Environmental economics. His Service study deals with Energy storage intersecting with Mathematical optimization. His Mathematical optimization research integrates issues from Scalability, Scheduling and Electric power system.
Ram Rajagopal mainly focuses on Artificial intelligence, Machine learning, Distributed generation, Topology and Change detection. His research integrates issues of Collapse and Damage detection in his study of Artificial intelligence. His Distributed generation research is multidisciplinary, relying on both Reliability theory, Reliability and Electrical load.
Ram Rajagopal combines subjects such as Smart meter, Grid, Data-driven and Topology with his study of Topology. Ram Rajagopal interconnects Basis, Symmetrical components, Identification, Conditional independence and Distribution in the investigation of issues within Smart meter. His Artificial neural network study integrates concerns from other disciplines, such as Normalization, Data mining and Sensor fusion.
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Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior
Amir Kavousian;Ram Rajagopal;Martin Fischer.
Household Energy Consumption Segmentation Using Hourly Data
Jungsuk Kwac;June Flora;Ram Rajagopal.
IEEE Transactions on Smart Grid (2014)
Bringing Wind Energy to Market
Eilyan Y. Bitar;Ram Rajagopal;Pramod P. Khargonekar;Kameshwar Poolla.
IEEE Transactions on Power Systems (2012)
Arterial travel time estimation based on vehicle re-identification using wireless magnetic sensors
Karric Kwong;Robert Kavaler;Ram Rajagopal;Pravin Varaiya.
Transportation Research Part C-emerging Technologies (2009)
Smart Meter Driven Segmentation: What Your Consumption Says About You
Adrian Albert;Ram Rajagopal.
IEEE Transactions on Power Systems (2013)
Detection and Statistics of Wind Power Ramps
Raffi Sevlian;Ram Rajagopal.
IEEE Transactions on Power Systems (2013)
In-pavement wireless sensor network for vehicle classification
Ravneet Bajwa;Ram Rajagopal;Pravin Varaiya;Robert Kavaler.
information processing in sensor networks (2011)
Risk-limiting dispatch for integrating renewable power
Ram Rajagopal;Eilyan Bitar;Pravin Varaiya;Felix Wu.
International Journal of Electrical Power & Energy Systems (2013)
The role of co-located storage for wind power producers in conventional electricity markets
E. Bitar;R. Rajagopal;P. Khargonekar;K. Poolla.
american control conference (2011)
System and method for signal matching and characterization
Ram Rajagopal;Lothar Wenzel;Dinesh Nair;Darren Schmidt.
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