Sajjad Khan

Sajjad Khan
Wirtschaftsuniversität Wien | WU · Institute for Distributed Ledgers and Token Economy

MS (CS)
Blockchain, Decentralized Finance, Artificial Intelligence, Security and Privacy.

About

18
Publications
6,504
Reads
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92
Citations
Education
February 2016 - February 2019
COMSATS University Islamabad
Field of study
  • Computer Science

Publications

Publications (18)
Article
Full-text available
The slower than expected adoption rate of blockchain technology has highlighted that there are barriers due to the diversity of its applications and its users. To overcome this limitation and take full advantage of the novel technology, researchers from academia as well as industry are dedicated to find different solutions, where two blockchains ca...
Preprint
Full-text available
The slower than expected adoption rate of blockchain technology has highlighted thatthere are barriers due to the diversity of its applications and its users. To overcome this limitationand take full advantage of the novel technology, researchers from academia as well as industryare dedicated to find different solutions, where two blockchains can i...
Article
Full-text available
Day-ahead electricity price forecasting plays a critical role in balancing energy consumption and generation, optimizing the decisions of electricity market participants, formulating energy trading strategies, and dispatching independent system operators. Despite the fact that much research on price forecasting has been published in recent years, i...
Chapter
Full-text available
In this paper, enhanced Deep Learning (DL) method is implemented to resolve the accurate electricity load forecasting problem. Electricity load is a factor which plays major role in operations of Smart Grid (SM). For solving this problem, we propose a model which is based on preprocessing, selection and classification of historical data. Features a...
Thesis
The day to day increase in world’s population is producing a gap between the demand and supply of electricity. Traditional Grid (TG) with the aging infrastructure is unable to address the increasing electricity demand. Installation of new generation systems is not a good solution to tackle the high demand of electricity. Smart Grid (SG) enhanced th...
Conference Paper
Full-text available
Forecasting of building energy consumption plays a key role in the energy management of the modern power system. However, the noise and randomness in the electricity load data makes it difficult to forecast accurate electricity load. In this paper, a novel scheme namely Empirical Mode Decomposition based Extreme Learning Machine (EMD-ELM) is propos...
Conference Paper
Full-text available
Cloud servers provide services over the internet by using Virtual Machines (VMs). The power consumption of Physical Machines (PMs) needs to be considered, as VMs are running on physical machines. When a consumer sends request to the cloud, it takes time to respond because of distant location of cloud. Due to which delay and latency issue arises. Fo...
Chapter
Full-text available
Recently a massive increase in the demand of energy has been reported in residential, industrial and commercial sectors. Traditional Grid (TG) with the aging infrastructure is unable to address the increasing demand problem. Smart Grid (SG) enhanced the TG by adopting information and communication based technological solutions to address the increa...
Chapter
Full-text available
As the energy demand for consumption is comparably higher than the generation of energy, which produce the shortage of energy. Many new schemes are being developed to fulfill the energy consumer demand. In this paper, we proposed our meta-heuristic algorithm Runner Updation Optimization Algorithm (RUOA) to schedule the consumption pattern of reside...
Chapter
Full-text available
In smart grid, precise and accurate electricity load forecasting is one of the most challenging tasks. It is due to the high volatile, non-stationary and non-linear behavior of electricity load data. In this paper, a Deep Convolution Neural Network (DCNN) model is proposed to forecast the electricity load for each day of the week of Victoria (Austr...
Chapter
Full-text available
Now a days, energy is the essential resource and due to increase in power demand, traditional resources are not enough to fulfill the requirement of todays need. The researchers are working on new approaches to enhance and improve the power load demand. The increasing demand of electricity creates peaks on utility. Therefore an improved Home Energy...
Chapter
Full-text available
A home energy management system intended to improve the energy consumption pattern in a smart home is proposed in this research. The objective of this work is to handle the load need in an adequate manner such that, electrical energy cost and waiting time is minimized where Peak to Average Ratio (PAR) is maintained through coordination among applia...
Chapter
Full-text available
In electricity market, electricity price has some complicated features like high volatility, non-linearity and non-stationarity that make very difficult to predict the accurate price. However, it is necessary for markets and companies to predict accurate electricity price. In this paper, we enhanced the forecasting accuracy by combined approaches o...
Chapter
Full-text available
Integration of Demand Side Management (DSM) strategies within Smart Grid (SG) helps the utilities to mange and control the power consumer load to meet the power demand. Schemes adapted by DSM are used for reducing the load on utilities at peak time, which is achieved by managing the user appliances according to the changes in load on utility and in...
Chapter
Full-text available
In the last decade, high energy demand is observed due to increase in population. Due to high demand of energy, numerous challenges in the existing power systems are raised i.e., robustness, stability and sustainability. This work is focused for the residential sector Energy Management System (EMS), especially for the smart homes. An EMS is propose...
Chapter
Full-text available
The day by day increase in population is producing a gap between the demand and supply of electricity. Installation of new electricity generation system is not a good solution to tackle the high demand of electricity. To get the most out of the existing system, several demand response schemes have been presented by researchers. These schemes try to...
Article
Full-text available
Demand Response Management (DRM) is considered one of the crucial aspects of the smart grid as it helps to lessen the production cost of electricity and utility bills. DRM becomes a fascinating research area when numerous utility companies are involved and their announced prices reflect consumer’s behavior. This paper discusses a Stackelberg game p...
Conference Paper
Full-text available
In this paper, we overcome the problem of energy holes in UWSNs while considering the unique characteristics of underwater communication. In proposed scheme we consider UWSNs where nodes are manually deployed according to the defined deployment pattern to satisfy our application requirements in terms of energy saving. We used mixed routing techniqu...

Projects

Projects (3)
Project
Enabling interoperability between homogeneous and heterogeneous blockchains.