Samia Abid

Mirpur University of Science and Technology · Department of Computer Science

In the last couple of decades, autonomous road cleaners have been enormously attracting the world. For this purpose, numerous researchers have contributed to designing efficient, robust, and human-friendly cleaning mechanisms. However, their proposed approaches do not provide a cost-effective solution due to the deployment of exorbitant sensors and...

Autonomous path following has gained tremendous popularity during the last few decades. Numerous researchers have contributed to the development of highly automated navigation systems using different types of sensors and their combination. However, their proposed approaches do not provide a cost-efficient solution because of the deployment of exorb...

In an automated steering system of the self-driving vehicles, the steering wheel angle is measured by the absolute angular displacement sensors or relative angle sensors. However, these sensors either encompass global navigation satellite systems (GNSS)/gyroscope – Micro Electromechanical-Sensor (MEMS) based solutions or comprise of the complex gea...

In the last couple of years, academia-industry collaboration has demonstrated rapid advancements in the development of self-driving vehicles. Since it is evident that self-driving vehicles are going to reshape the traditional transportation systems in near future through enhancement in safe and smart mobility, motion control in self-driving vehicle...

In step with rapid advancements in computer vision, vehicle classification demonstrates a considerable potential to reshape intelligent transportation systems. In the last couple of decades, image processing and pattern recognition-based vehicle classification systems have been used to improve the effectiveness of automated highway toll collection...

In the last couple of decades, numerous energy management strategies have been devised to mitigate the effects of greenhouse gas emission, hence introducing the concept of microgrids. In a microgrid, distributed energy generators are used. Microgrid enables a point which ameliorates in exchanging power with the main grid during different times of d...

An increase in the world's population results in high energy demand, which is mostly fulfilled by consuming fossil fuels (FFs). By nature, FFs are scarce, depleted, and non-eco-friendly. Renewable energy sources (RESs) photovoltaics (PVs) and wind turbines (WTs) are emerging alternatives to the FFs. The integration of an energy storage system with...

The electricity demand from residential buildings is increasing gradually day by day. Home Energy Management Systems (HEMS) are used to meet this demand by using Demand Sides Management (DSM) to reduce the pressure on consumers and utility companies. In this paper, HEMS is facilitated by using different meta-heuristic scheduling techniques: The Str...

Energy crises are serious issues due to exponential increase in demand of energy. To tackle the issue of increase in demand, an integration of traditional grid with Demand Side Management (DSM). As need to resolve energy crises issues in residential areas smart homes are introduced; contains Smart Meters (SM), which allows bidirectional communicati...

Smart grid based energy management system promises an efficient consumption of electricity. For optimized energy consumption, a bio inspired meta-heuristic algorithms: Earth Worm Algorithm (EWA) and Bacterial Foraging Algorithm (BFA) are presented in this paper. In this work, we targeted residential area. Our aim is to reduce the electricity cost a...

In the past few years, a number of optimization techniques have been designed for Home Energy Management System (HEMS). In this paper, we evaluated the performance of two heuristic algorithms, i.e., Harmony Search Algorithm (HSA) and Tabu Search (TS) for optimization in residential area. These algorithms are used for efficient scheduling of Smart A...

This paper introduces Home Energy Management System (HEMS) which is the most revolutionary application of Smart Grid (SG) technology. It allows consumers to schedule the appliances according to their desires and requirements without effecting their living comfort along with the advantage of reducing electricity expenses. As a result, Peak to Averag...

The greenhouse gas emission is increasing around the globe. In order to reduce its emission factor, the concept of microgrid is introduced, which integrates renewable energy sources. The microgrid has a point of common coupling which helps to exchange power with utility during different times of a day to meet load demand. Based on all the system co...

Energy management plays a vital role in maintaining sustainability and reliability of smart grid. It also helps to prevent blackouts. Energy management at consumers side is a complex task. Utility provides incentives like: demand response, time of use and real time pricing models to encourage consumers to reduce electricity consumption in certain p...

Increasing demand of power and emergence of smart grid has gain maximum attention of researchers which has further opened new opportunities for Home Energy Management System (HEMS). HEMS under Demand Response (DR) helps to reduce the On-peak hour load by shifting the load toward the Off-peak hours. This load shifting strategy effects the user comfo...

Unlike existing centralized grids, smart grids (SGs) have the ability to reduce fossil fuel combustion and carbon emissions up to a significant mark. Smart homes and smart building are becoming more attractable due to low energy consumption and high comfort. Different demand side management (DSM) programs have been proposed to involve users in deci...

In a smart grid, several optimization techniques have been developed to schedule load in the residential area. Most of these techniques aim at minimizing the energy consumption cost and the comfort of electricity consumer. Conversely, maintaining a balance between two conflicting objectives: energy consumption cost and user comfort is still a chall...

This paper introduces Home Energy Management System (HEMS) which is the most revolutionary application of Smart Grid (SG) technology. It allows consumers to schedule the appliances according to their desires and requirements without effecting their living comfort along with the advantage of reducing electricity expenses. As a result, Peak to Averag...

Smart grid based energy management system promises an efficient consumption of electricity. For optimized energy consumption, a bio inspired meta-heuristic algorithms: Earth Worm Algorithm (EWA) and Bacterial Foraging Algorithm (BFA) are presented in this paper. In this work, we targeted residential area. Our aim is to reduce the electricity cost a...

The electricity demand from residential buildings is increasing gradually day by day. Home Energy Management Systems (HEMS) are used to meet this demand by using Demand Sides Management (DSM) to reduce the pressure on consumers and utility companies. In this paper, HEMS is facilitated by using different meta-heuristic scheduling techniques: The Str...

In the past few years, a number of optimization techniques have been designed for Home Energy Management System (HEMS). In this paper, we evaluated the performance of two heuristic algorithms, i.e., Harmony Search Algorithm (HSA) and Tabu Search (TS) for optimization in residential area. These algorithms are used for efficient scheduling of Smart A...

Energy crises are serious issues due to exponential increase in demand of energy. To tackle the issue of increase in demand, an integration of traditional grid with Demand Side Management (DSM). As need to resolve energy crises issues in residential areas smart homes are introduced; contains Smart Meters (SM), which allows bidirectional communicati...

The greenhouse gas emission is increasing around the globe. In order to reduce its emission factor, the concept of microgrid is introduced, which integrates renewable energy sources. The microgrid has a point of common coupling which helps to ex- change power with utility during different times of a day to meet load demand. Based on all the system...

Increasing demand of power and emergence of smart grid has gain maximum attention of researchers which has further opened new opportunities for Home Energy Management System (HEMS). HEMS under Demand Response (DR) helps to reduce the On-peak hour load by shifting the load toward the Off-peak hours. This load shifting strategy effects the user comfo...

Unlike existing centralized grids, smart grids (SGs) have the ability to reduce fossil fuel combustion and carbon emissions up to a significant mark. Smart homes and smart building are becoming more attractable due to low energy consumption and high comfort. Different demand side management (DSM) programs have been proposed to involve users in deci...

Energy management plays a vital role in maintaining sustainability and reliability of smart grid. It also helps to prevent blackouts. Energy management at consumers side is a complex task. Utility provides incentives like: demand response, time of use and real time pricing models to encourage consumers to reduce electricity consumption in certain p...

The greenhouse gas emission is increasing around the globe. In order to reduce its emission factor, the concept of microgrid is introduced, which integrates renewable energy sources. The microgrid has a point of common coupling which helps to exchange power with utility during different times of a day to meet load demand. Based on all the system co...

With the advent of smart grid (SG) and the emergence of information and communication technology, smart meters , bidirectional communication, smart homes and storage systems the energy consumption patterns at the consumer premises have been revolutionized. Moreover, with the rise of renewable energy sources (RESs), storage systems and electric vehi...

In this work, we evaluate performance of home energy management system(HEM) by using three meta-heuristic optimization techniques: Harmony search algorithm (HSA), Bacterial foraging optimization (BFO) and Enhanced deferential evolution(EDE). We categorize appliances into three groups on the basis of their energy consumption pattern. Real time prici...

In this paper, we analyse the scheduling of residential appliances to: 1) reduce cost, and 2) reduce Peak to Average Ratio (PAR) by smoothing load profile. We consider 10 different residential appliances which are categorized into three different groups: shiftable interruptible, shiftable uninterruptible and regular appliances to flexibly control t...