Automated Load Shedding Period Control System (An effective way to reduce human effort)
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 5
Abstract
Energy is the basic necessity for the economic development of a country. Many functions necessary to present-day living grind to halt when the supply of energy stops. It is practically impossible to estimate the actual magnitude of the role that energy has played in building up present-day civilization. In this modern world, the dependence on electricity is so much that it has become a PART & PARCEL of our life. So we need to save more & more electrical power. Hence, the load shedding control system, which was earlier done manually, now-a-days, is controlled by a computer based system, developed to some more extent to direct the society to a more convenient life. This paper focuses on developing a computerized procedure for controlling the load-shedding system where manual work will be minimized by selecting the feeder, substation and duration of shedding time by the user. Simulation results’, using the above proposed model, verifies the suitability of choosing such an automated load shedding system.
Authors and Affiliations
Dwijen Rudrapal , Smita Das, , Agnivesh Pandey, , Nirmalya Kar
Keywords
Related Articles
- EP ID EP119096
- DOI -
- Views 118
- Downloads 0
Efficiency of K-Means Clustering Algorithm in Mining Outliers from Large Data Sets
This paper presents the performance of k-means clustering algorithm, depending upon various mean values input methods. Clustering plays a vital role in data mining. Its main job is to group the similar data together base...
An Efficient Pruning Technique for Mining Frequent Itemsets in Spatial Databases
Frequent Itemset Mining is evaluating the rules and relationship within the data items are optimizing it, in the large spatial databases (for e.g. Images, Docs, AVI files etc).It is one of the major problems in DM (Data...
Improving Ischemic Beat Classification Using Fuzzy- Genetic Based PCA And ICA
In this paper, an improved version of Principal Component nalysis (PCA) and Independent Component Analysis (ICA) is proposed for feature extraction to classify the ischemic beats from electrocardiogram (ECG) signal. The...
Global Intelligent Sensor Networking System
New media, new data type and ubiquitous access to high speed real time network applications are revolutionizing the whole Universe. In many critical applications, human performance is often a high risk element in the ove...
Canonical Correlated Kernel PCA Method for Face Recognition
Practical face recognition systems are sometimes confronted with low-resolution face images. To address this problem, a super-resolution method that uses nonlinear mappings to infer coherent features that favor higher re...