D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 35 Citations 6,172 218 World Ranking 3479 National Ranking 1344

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Electrical engineering

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

  • Stochastic programming that connect with fields like Financial risk and Environmental economics,
  • Thermostat which connect with Smart meter. His studies in Smart meter integrate themes in fields like Commerce, Data collection and Agricultural economics.

His most cited work include:

  • Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior (315 citations)
  • Household Energy Consumption Segmentation Using Hourly Data (269 citations)
  • Bringing Wind Energy to Market (251 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Mathematical optimization (19.02%)
  • Electricity (11.35%)
  • Distributed generation (11.04%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (10.74%)
  • Grid (9.82%)
  • Distributed generation (11.04%)

In recent papers he was focusing on the following fields of study:

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.

Between 2018 and 2021, his most popular works were:

  • Urban MV and LV Distribution Grid Topology Estimation via Group Lasso (29 citations)
  • Reliability Value of Distributed Solar+Storage Systems Amidst Rare Weather Events (26 citations)
  • Design and Planning of a Multiple-Charger Multiple-Port Charging System for PEV Charging Station (24 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Electrical engineering

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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.
Energy (2013)

489 Citations

Household Energy Consumption Segmentation Using Hourly Data

Jungsuk Kwac;June Flora;Ram Rajagopal.
IEEE Transactions on Smart Grid (2014)

402 Citations

Bringing Wind Energy to Market

Eilyan Y. Bitar;Ram Rajagopal;Pramod P. Khargonekar;Kameshwar Poolla.
IEEE Transactions on Power Systems (2012)

322 Citations

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)

227 Citations

Smart Meter Driven Segmentation: What Your Consumption Says About You

Adrian Albert;Ram Rajagopal.
IEEE Transactions on Power Systems (2013)

221 Citations

Detection and Statistics of Wind Power Ramps

Raffi Sevlian;Ram Rajagopal.
IEEE Transactions on Power Systems (2013)

135 Citations

In-pavement wireless sensor network for vehicle classification

Ravneet Bajwa;Ram Rajagopal;Pravin Varaiya;Robert Kavaler.
information processing in sensor networks (2011)

113 Citations

Risk-limiting dispatch for integrating renewable power

Ram Rajagopal;Eilyan Bitar;Pravin Varaiya;Felix Wu.
International Journal of Electrical Power & Energy Systems (2013)

111 Citations

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)

99 Citations

System and method for signal matching and characterization

Ram Rajagopal;Lothar Wenzel;Dinesh Nair;Darren Schmidt.
(2001)

98 Citations

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