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Nouman Ashraf

Researcher at Waterford Institute of Technology

Publications -  32
Citations -  375

Nouman Ashraf is an academic researcher from Waterford Institute of Technology. The author has contributed to research in topics: Computer science & Energy management. The author has an hindex of 5, co-authored 23 publications receiving 92 citations. Previous affiliations of Nouman Ashraf include Frederick University & University of Cyprus.

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Journal ArticleDOI

A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids

TL;DR: A comprehensive survey of the existing DL-based approaches, which are developed for power forecasting of wind turbines and solar panels as well as electric power load forecasting, and discusses the datasets used to train and test the differentDL-based prediction models, enabling future researchers to identify appropriate datasets to use in their work.
Journal ArticleDOI

BlockEV: Efficient and Secure Charging Station Selection for Electric Vehicles

TL;DR: This work proposes BlockEV, a blockchain-based efficient CS selection protocol for EVs to ensure the security and privacy of the EV users, availability of the reserved time slots at CSs, high Quality of Service (QoS) and enhanced EV user comfort.
Journal ArticleDOI

Combined Data Rate and Energy Management in Harvesting Enabled Tactile IoT Sensing Devices

TL;DR: This paper poses the combined energy management and rate control problem as a queue control problem, where the objective is to control the energy and data queues to predefined reference levels to make the communication reliable and guarantee that nodes of the network are always alive and have some amount of energy close to pred definitions for emergency and critical operations.
Proceedings ArticleDOI

Machine Learning with Blockchain for Secure E-voting System

TL;DR: The proposed blockchain-based e-voting system offers transparency, treasury, confidence and prevents intrusion into the information exchange network.
Journal ArticleDOI

Energy management in harvesting enabled sensing nodes: prediction and control

TL;DR: The energy management problem is viewed as a queue control problem where the objective is to regulate transmission such that the energy level converges to a reference value, and outperforms the Throughput Optimal (TO) policy in terms of the throughput achieved.