Abstract—This paper is the outcome of an attempt in mining recorded power system operational data in order to get new insight to practical power system behavior. Data mining, in general, is essentially finding new relations between data sets by analyzing well known or recorded data. In this effort we make use of the recorded data of the Southern regional grid of India. Some interesting relations at the total system level between frequency, total MW/MVAr generation and average system voltage have been obtained. The aim of this work is to highlight the potential of data mining for power system applications and also some of the concerns that need to be addressed to make such efforts more useful. I
Abstract — This paper presents a power system dynamic scenario vi-sualization tool which is used to ...
The intention of this thesis is to discover associations between demography and electric usage patte...
Recent advances in computing technologies and the availability of large amounts of heterogeneous dat...
This paper is the outcome of an attempt in mining recorded power system operational data in order to...
With increasingly environmental constraints the modern Power and Energy Systems are experiencing hug...
The growth of available data in the electric power industry motivates the adoption of data mining te...
peer reviewedThe power system field is presently facing an explosive growth of data. The data mining...
Presently power system operation produces huge volumes of data that is still treated in a very limit...
All fields of industry are constantly seeking ways to improve their efficiency. This is now especial...
Digital relaying equipment at substations allow for large amounts of data storage that can be trigge...
Summarization: Tracking end-users' usage patterns can enable more accurate demand forecasting and th...
As power system data becomes more abundant, there is an increasing need for applications which can m...
Digital relaying equipment has replaced the older relays and with this installation all utility comp...
The study attempted to understand the condition of the insulation system and to classify the data ac...
Automatic meter reading system is capable of collecting and storing a huge number of district heatin...
Abstract — This paper presents a power system dynamic scenario vi-sualization tool which is used to ...
The intention of this thesis is to discover associations between demography and electric usage patte...
Recent advances in computing technologies and the availability of large amounts of heterogeneous dat...
This paper is the outcome of an attempt in mining recorded power system operational data in order to...
With increasingly environmental constraints the modern Power and Energy Systems are experiencing hug...
The growth of available data in the electric power industry motivates the adoption of data mining te...
peer reviewedThe power system field is presently facing an explosive growth of data. The data mining...
Presently power system operation produces huge volumes of data that is still treated in a very limit...
All fields of industry are constantly seeking ways to improve their efficiency. This is now especial...
Digital relaying equipment at substations allow for large amounts of data storage that can be trigge...
Summarization: Tracking end-users' usage patterns can enable more accurate demand forecasting and th...
As power system data becomes more abundant, there is an increasing need for applications which can m...
Digital relaying equipment has replaced the older relays and with this installation all utility comp...
The study attempted to understand the condition of the insulation system and to classify the data ac...
Automatic meter reading system is capable of collecting and storing a huge number of district heatin...
Abstract — This paper presents a power system dynamic scenario vi-sualization tool which is used to ...
The intention of this thesis is to discover associations between demography and electric usage patte...
Recent advances in computing technologies and the availability of large amounts of heterogeneous dat...