What can be the area of focus? I request eminent researchers in the field to recommend the algorithms on data analysis for Smart Grid for better understanding. I request to consider open source platforms. Thanks in advance.
Hi Vikram Kulkarni, as a PhD in my last year, I can guarantee that your question is not simple to answer. People spend at least a year to find a PhD topic with the description that you are asking for. People that spent a year doing this would probably not share their ideas online before publishing it. The best way to answer your question is by going into the literature and searching the area, reading about it and find a gap in the literature that is not answered. Go to the journals on the area (as Cory Jensen just recommended), read the papers, check which were the tools they used for simulating it and if their datasets are available. It might take a while, but you should find a unique problem/solution that will lead your research. Good luck!
@ Erika Fonseca, I agree and We know what you said. We all know the basics I hope. I need some better discussion than the basics. Research gate is definitely a optimistic platform that tries to improve confidence. No one is forced to answer my question. But are requested to answer if they are willing to discuss. Hope you received the purpose of my question.
Vikram Kulkarni , I support and re-iterate Erika Fonseca too! The PhD process is different from asking questions in research gate or research in general. To the former, I knew during my process that I wanted to work with biotechnology (this led to biosensors and then to the specific details of the systems I worked with). No one gave me any ideas of what to propose or research, I was given format for my proposal but had to come up with ideas and accomplish research for my proposal. Looking back, I am not sure I was even given that much literature, I had to find it most of it on my own. This involved massive amounts of reading and working with experiments in the lab. Posing a question in research gate will not establish any type of project, only you can do that.
The group that presented at the IEEE meeting have already done an initial look at the current body of knowledge for you. I like reviews with exact titles of topics because if nothing else, it provides for pointers to more specific areas. If you consider this general area as relevant to your topic, what focus are you interested in?
I work with systems and like energy topics. I found some open source data sets online that might be of interest: https://openei.org/datasets/dataset?tags=smart+grid§ors=smartgrid.
For open source, I recommend using python or python tools/libraries, etc. I began looking for similar tools to use: https://pvpmc.sandia.gov/applications/pv_lib-toolbox/
Based on your background, do you think your question is specific enough? it looks like you have identified some specific areas of expertise that at least relate to this topic.
Open Energy Information (OpenEI.org), the information we are already working from 12th August. We are also working on the information received from the industry too. You must also please understand in academics there is a role called as supervisor or guide. The question was asked to support my student, not to get a self benefit out of your answers. Who doesn't want parallel things to happen at the same time? I cannot say my student to do by yourself. I am trying all the ways I can help her to understand the concept of research in the area she is interested in.
Vikram Kulkarni , I was a little confused by how the conversation started.
I enjoy engaging on research gate (RG) and hope some input helped and is supportive of your mentorship. I think RG is another way that researchers can choose to be part of a larger community. Because I ask questions (similar to the practice of peer review) I try to also respond to questions.
After leading some big data technical programming, I would also recommend searching journals with 'Big Data' in the title too.
Best regards and for success in your research efforts!
Three elements go together here: a well-defined objective, the proper algorithm, and sufficient data of good quality. Below are some suggestions and a link to a publicly available dataset:
> An interesting research objective in smart grids nowadays can perhaps be cyber risk and cyber-attacks detection, or fault detection/ identification, and diagnosis; These are classification problems. Other trends are performance degradation or failure prediction, intelligent events management, and power/demand forecasting; These are approached through regression algorithms.
> From a defined objective, you can find abundant machine learning and statistical classification and regression algorithms that suit the objective and perform better with the characteristics of the system and the data.
>It is so important to consider data before starting a new project. A set of experimental data files is uploaded recently and they are now publicly available for research projects covering photovoltaic microgrids; fault detection & diagnosis; data analysis; and machine learning.
>>This is a link to data which I hope are found useful:
Data GPVS-Faults: Experimental Data for fault scenarios in grid-c...