Aimal Syeda

Aimal Syeda
COMSATS University Islamabad | CUI · Department of Computer Science

MS Software Engineering

About

20
Publications
5,443
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82
Citations

Publications

Publications (20)
Chapter
Full-text available
The vital part of the smart grid is electricity price forecasting because it makes grid cost saving. Although, existing systems for price forecasting may be challenging to manage with enormous price data in the grid. As repetition from the feature cannot be avoided and an integrated system is needed for regulating the plans in price. To handle this...
Chapter
Full-text available
The present strategies for the prediction of price and load may be difficult to deal with huge amount of load and price data. To resolve the problem, three modules are incorporated within the model. Firstly, the fusion of Decision Tree (DT) and Random Forest (RF) are used for feature selection and to remove the redundancy among feature. Secondly, R...
Chapter
Full-text available
The significant part of smart grid is to make smart grid cost-efficient by predicting electricity price and load. To improve the prediction performance we proposed an Efficient Convolutional Neural Network (ECNN) and Efficient K-nearest Neighbour (EKNN) in which the parameters are tuned. It may be difficult to deal with huge amount of load data tha...
Thesis
The significant part of smart grid is to make smart grid cost-efficient by predicting electricity price and load. To resolve the problem, three modules are incorporated within the prediction model 1. Firstly, the fusion of Decision Tree (DT) and Random Forest (RF) are used for feature selection and to remove the redundancy among feature. Secondly,...
Chapter
Smart Grid (SG) is a modern electricity grid that enhance the efficiency and reliability of electricity generation, distribution and consumption. It plays an important role in modern energy infrastructure. Energy consumption and generation have fluctuating behaviour in SG. Load and price forecasting can decrease the variation between energy generat...
Chapter
In this paper, month-ahead electricity load and price forecasting is done to achieve accuracy. The data of electricity load is taken from the Smart Meter (SM) in London. Electricity load data of five months is taken from one block SM along with the weather data. Data Analytics (DA) techniques are used in the paper for month-ahead electricity load a...
Chapter
In this paper, an enhanced model for electricity load and price forecasting is proposed. This model consists of feature engineering and classification. Feature engineering consists of feature selection and extraction. For feature selection a hybrid feature selector is used which consists of Decision Tree (DT) and Recursive Feature Elimination (RFE)...
Conference Paper
Full-text available
In this paper, an enhanced model for electricity load and price forecasting is proposed. This model consists of feature engineering and classification. Feature engineering consists of feature selection and extraction. For feature selection a hybrid feature selector is used which consists of Decision Tree (DT) and Recursive Feature Elimination (RFE)...
Conference Paper
Full-text available
Smart Grid (SG) is a modern electricity grid that enhance the efficiency and reliability of electricity generation, distribution and consumption. It plays an important role in modern energy infrastructure. Energy consumption and generation have fluctuating behaviour in SG. Load and price forecasting can decrease the variation between energy generat...
Conference Paper
Full-text available
In this paper, month-ahead electricity load and price forecasting is done to achieve accuracy. The data of electricity load is taken from the Smart Meter (SM) in London. Electricity load data of five months is taken from one block SM along with the weather data. Data Analytics (DA) techniques are used in the paper for month-ahead electricity load a...
Conference Paper
In this paper, we are dealing with Home Energy Management System (HEMS) using Bacterial Foraging Optimization (BFO) and Pigeon Inspired Optimization (PIO) techniques in a single home. Performance of Both techniques is evaluated through simulations in term of reduction in electricity cost, Peak to Average Ratio (PAR) by scheduling smart appliances....
Conference Paper
Full-text available
Many techniques have been proposed to manage the demand and supply of electricity. However, due to rapid increase in population, electricity demand becomes a serious issue. In this paper, we evaluated the performance of Home Energy Management System (HEMS) on the basis of two optimizing techniques: Elephant Herding Optimization (EHO) and Harmony Se...
Conference Paper
Due to increase in population, demand of energy is increasing. To make energy demand efficient and reliable many techniques are integrated in home areas. We implemented Grey Wolf Optimization (GWO) using Time of Use (TOU) pricing scheme, to achieve an optimal balanced load and to minimize user comfort, then we compared the results of GWO and Bacter...
Conference Paper
Full-text available
In this paper, a scheduler for Home Energy Management (HEM) is proposed using Pigeon Inspired Optimization (PIO) and Enhanced Differential Evolution (EDE). Performance of these two optimization algorithms is evaluated in this study. Performance is determined by the amount of energy consumed by the appliances in on-peak hours and off-peak hours. Tim...
Conference Paper
Full-text available
Nowadays, energy is the most valuable resource, new techniques and methods are discovered to fulfill the energy demand. These techniques and methods are very useful for Home Energy Management System (HEMS) in terms of electricity cost reduction, load balancing and power consumption. We evaluated the performance of HEMS using Grey Wolf Optimization...
Conference Paper
Many techniques have been proposed to manage the demand and supply of electricity. However, due to rapid increase in population, electricity demand becomes a serious issue. In this paper, we evaluated the performance of Home Energy Management System (HEMS) on the basis of two optimizing techniques: Elephant Herding Optimization (EHO) and Harmony Se...
Conference Paper
In this paper, we are dealing with Home Energy Management System (HEMS) using Bacterial Foraging Optimization (BFO) and Pigeon Inspired Optimization (PIO) techniques in a single home. Performance of Both techniques is evaluated through simulations in term of reduction in electricity cost, Peak to Average Ratio (PAR) by scheduling smart appliances....
Conference Paper
Nowadays, energy is the most valuable resource, new techniques and methods are discovered to fulfill the energy demand. These techniques and methods are very useful for Home Energy Management System (HEMS) in terms of electricity cost reduction, load balancing and power consumption. We evaluated the performance of HEMS using Grey Wolf Optimization...
Conference Paper
In this paper, a scheduler for Home Energy Management (HEM) is proposed using Pigeon Inspired Optimization (PIO) and Enhanced Differential Evolution (EDE). Performance of these two optimization algorithms is evaluated in this study. Performance is determined by the amount of energy consumed by the appliances in on-peak hours and off-peak hours. Tim...
Conference Paper
Due to increase in population, demand of energy is increasing. To make energy demand efficient and reliable many techniques are integrated in home areas. We implemented Grey Wolf Optimization (GWO) using Time of Use (TOU) pricing scheme, to achieve an optimal balanced load and to minimize user comfort, then we compared the results of GWO and Bacter...

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Projects (5)