Ratnesh Sharma

Publication Activity (10 Years)

Years Active: 2011-2020
Publications (10 Years): 19

Top Topics

Power Management

Reinforcement Learning

Stochastic Programming

Anomaly Detection

Top Venues

Publications

Siavash Alemzadeh, Ramin Moslemi, Ratnesh Sharma, Mehran Mesbahi
Adaptive Traffic Control with Deep Reinforcement Learning: Towards State-of-the-art and Beyond. CoRR (2020)
Hossein Khazaei, Ramin Moslemi, Ratnesh Sharma
Stochastic Decision-Making Model for Aggregation of Residential Units with PV-Systems and Storages. CoRR (2020)
Changfu Li, Chenrui Jin, Ratnesh Sharma
Coordination of PV Smart Inverters Using Deep Reinforcement Learning for Grid Voltage Regulation. ICMLA (2019)
Ali Hooshmand, Ratnesh Sharma
Energy Predictive Models with Limited Data using Transfer Learning. CoRR (2019)
Nikhil Muralidhar, Sathappan Muthiah, Kiyoshi Nakayama, Ratnesh Sharma, Naren Ramakrishnan
Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach. IEEE BigData (2019)
Kiyoshi Nakayama, Nikhil Muralidhar, Chenrui Jin, Ratnesh Sharma
Detection of False Data Injection Attacks in Cyber-Physical Systems using Dynamic Invariants. ICMLA (2019)
Ali Hooshmand, Ratnesh Sharma
Energy Predictive Models with Limited Data using Transfer Learning. e-Energy (2019)
Changfu Li, Chenrui Jin, Ratnesh Sharma
Coordination of PV Smart Inverters Using Deep Reinforcement Learning for Grid Voltage Regulation. CoRR (2019)
Paritosh Ramanan, Kiyoshi Nakayama, Ratnesh Sharma
BAFFLE : Blockchain based Aggregator Free Federated Learning. CoRR (2019)
Kiyoshi Nakayama, Ramin Moslemi, Ratnesh Sharma
Transactive Energy Management with Blockchain Smart Contracts for P2P Multi-Settlement Markets. ISGT (2019)
Hossein Hosseini, Ali Hooshmand, Ratnesh Sharma
Conditioning Neural Networks: A Case Study of Electricity Load Forecasting. IEEE BigData (2018)
Nikhil Muralidhar, Chen Wang, Nathan Self, Marjan Momtazpour, Kiyoshi Nakayama, Ratnesh Sharma, Naren Ramakrishnan
illiad: InteLLigent Invariant and Anomaly Detection in Cyber-Physical Systems. ACM Trans. Intell. Syst. Technol. 9 (3) (2018)
Mehdi Assefi, Ali Hooshmand, Hossein Hosseini, Ratnesh Sharma
Battery Degradation Temporal Modeling Using LSTM Networks. ICMLA (2018)
Kiyoshi Nakayama, Ratnesh Sharma
Demand Charge and Response with Energy Storage. SmartGridComm (2018)
Yanzhu Ye, Ratnesh Sharma, Feng Guo
A multi-layer optimal chiller operation management framework. IAS (2016)
Rabindra Maharjan, Feng Guo, Ratnesh Sharma
Control strategy for islanded microgrid integrating renewable energy with storage and diesel generator. IAS (2016)
Kiyoshi Nakayama, Ratnesh Sharma
An autonomous Energy Management platform for resilient operation of microgrids. SmartGridComm (2016)
Shankar Mohan, Ali Hooshmand, S. Ali Pourmousavi, Ratnesh Sharma
BSS sizing and economic benefit analysis in grid-scale application. ISGT (2016)
Riyasat Azim, Yongli Zhu, Hira Amna Saleem, Kai Sun, Fangxing Li, Di Shi, Ratnesh Sharma
A decision tree based approach for microgrid islanding detection. ISGT (2015)
Yanzhu Ye, Ratnesh Sharma, Pawan Garg
An integrated power management strategy of hybrid energy storage for renewable application. IECON (2014)
Di Shi, Ratnesh Sharma, Yanzhu Ye
Adaptive control of distributed generation for microgrid islanding. ISGT Europe (2013)
Yanzhu Ye, Pawan Garg, Ratnesh Sharma
Development and demonstration of power management of hybrid energy storage for PV integration. ISGT Europe (2013)
Gonçalo Cardoso, Michael Stadler, Mohammad Chehreghani Bozchalui, Ratnesh Sharma, Chris Marnay, Ana Barbosa-Póvoa, Paulo Ferrão
Stochastic programming of vehicle to building interactions with uncertainty in PEVs driving for a medium office building. IECON (2013)
Marjan Momtazpour, Patrick Butler, Mahmud Shahriar Hossain, Mohammad Chehreghani Bozchalui, Naren Ramakrishnan, Ratnesh Sharma
Coordinated clustering algorithms to support charging infrastructure design for electric vehicles. UrbComp@KDD (2012)
Ming C. Hao, Manish Marwah, Halldór Janetzko, Ratnesh Sharma, Daniel A. Keim, Umeshwar Dayal, Debprakash Patnaik, Naren Ramakrishnan
Visualizing frequent patterns in large multivariate time series. Visualization and Data Analysis (2011)