Internship 2 : Minimization of Climatic Impact on Water and Water Based Renewable Energy Systems by Cognitive and Hierarchical Techniques

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Description about the Internship

This short-term course on Hydroinformatics is about an internship program proposed for 2025, aimed at minimizing the climatic impact on water and water-based renewable energy systems. The internship will last two months and can be completed online or offline. The goal is to find the best possible mitigation alternatives for the minimization of climate change's impact on these systems.

The first objective is to determine if these systems are truly impacted by climate change. If so, how can they be mitigated? Artificial intelligence-based models like group method of data handling will be employed to predict the climate change impact on the output of these systems. The second objective is to propose multiple alternatives and collect multiple mitigative alternatives.

The internship will involve consulting literature on the topic and identifying the best alternative among them. The team will use MCDM techniques, such as the nature-inspired optimization technique, which is rare but not common in water resource management or renewable energy systems. These techniques include invasive weed optimization technique, cat swarm optimization technique, and glow warm optimization technique.

If you are interested in participating in this internship, please comment on this post or follow the instructions I gave in the audio.

If you are planning to launch your own internship program, please email me at contact@energyinstyle.website. Your internship opportunity will be featured in this newsletter and on our website:

https://energyinstyle.website/

.

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Transcript of the video :

(00:00:01):

Hello and welcome to yet another episode of very short term courses on Hydroinformatics.

(00:00:13):

So this post is again about another internship program that is proposed in the year of 2025.

(00:00:23):

The duration of the internship is two months.

(00:00:30):

and you can do it online or offline as you wish.

(00:00:35):

The title of the internship is minimization of climatic impact on water and

(00:00:41):

water-based renewable energy systems by cognitive and hierarchical techniques.

(00:00:49):

So here what we will do is we want to minimize or we want to find out

(00:00:59):

the best possible mitigation alternative for the minimization of climatic impact on

(00:01:08):

any water or water-based renewable energy systems.

(00:01:12):

By water-based renewable energy systems,

(00:01:14):

I mean hydropower plant,

(00:01:16):

wave power plant,

(00:01:17):

tidal power plant,

(00:01:20):

any renewable energy which involves water,

(00:01:25):

pump storage,

(00:01:28):

So all this type of water-based renewable energy system is also impacted by climate change.

(00:01:35):

So our first job is whether they are really impacted by climate change.

(00:01:41):

First objective.

(00:01:43):

Second objective is if the answer is yes, then how to mitigate it?

(00:01:49):

for the first objective we will employ artificial intelligence based models like

(00:01:57):

group method of data handling and try to predict the climate change impact on the

(00:02:04):

output of these water and water-based renewable energy systems and in the second

(00:02:16):

objective what we'll do is we will propose

(00:02:19):

multiple alternatives will collect multiple mitigative alternatives.

(00:02:26):

That is how to rectify or how to reduce the impact of climate change on these

(00:02:31):

systems will collect ideas from different stakeholders.

(00:02:39):

It can be academicians, it can be engineers, it can be the local people.

(00:02:46):

and also we will consult lots of literatures,

(00:02:50):

previously published literatures on this topic and we will zero in on 10 to 15

(00:02:58):

mitigative alternative.

(00:03:00):

Within that 10 to 15 mitigative alternative,

(00:03:03):

we will try to identify the best alternative among them.

(00:03:08):

So now how we will do it, we will try to employ MCDM techniques

(00:03:14):

where we will not employ the normal MCDMs like Analytical Heated process or

(00:03:24):

Analytical Network process or Electra,

(00:03:27):

Promethe,

(00:03:27):

all these.

(00:03:28):

Although we will also employ them because we will verify the results with them

(00:03:34):

because they are established techniques and what we will apply is a very noble

(00:03:41):

technique

(00:03:42):

new technique never applied earlier.

(00:03:45):

So what we'll use is,

(00:03:46):

we'll use something known as a nature-inspired,

(00:03:54):

an example of nature-inspired optimization technique.

(00:04:00):

So that is a very rare one, not a very common one.

(00:04:11):

and not applied in case of water resource management or even renewable energy

(00:04:16):

system studies you can search it so it is known as it is known as invasive weed

(00:04:30):

optimization technique and cat swarm optimization technique

(00:04:41):

and glow warm optimization technique so these are three optimization technique one

(00:04:51):

is invasive with optimization technique second is cat swarm optimization technique

(00:04:57):

third is glow warm optimization technique so these three will be used as

(00:05:03):

optimization technique

(00:05:04):

and the equation will be configured where each of the alternatives will be given a weightage.

(00:05:14):

And just like in our neural network models,

(00:05:17):

we try to approximate the value of weights of the connection by constantly

(00:05:24):

iterating the model

(00:05:26):

with various types of training algorithms,

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here also,

(00:05:29):

instead of training algorithms,

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we will use those three algorithms and we will try to approximate the weights,

(00:05:36):

the value of weights of each alternative.

(00:05:40):

And whenever that equation yield a maximum value,

(00:05:50):

or sorry,

(00:05:51):

rather a minimum value,

(00:05:53):

because whatever we will

(00:05:55):

Keep in the output that will be coherent or directly proportional to Minimization

(00:06:02):

of climatic impact.

(00:06:03):

I'm sorry directly proportional to climatic effect that then only we can minimize

(00:06:08):

it So whatever we will keep in the output that will be directly proportional to

(00:06:15):

Climatic impact so if we can minimize that climatic impact and

(00:06:21):

uh then only i we will get our objective now that is why we are suggesting

(00:06:26):

mitigative alternatives uh that we are collecting from the stakeholder so the plan

(00:06:33):

is like this all those alternatives will have its own weightage initially we'll

(00:06:39):

begin with a random number in between zero to one and then we will iterate it first

(00:06:46):

we'll iterate with cat form

(00:06:49):

second we will iterate with invisible width third we iterate with global now our

(00:06:57):

fitness function will be the output more the value of the output more uh sorry less

(00:07:03):

the value of the output more will be its preference because we are we are we we are

(00:07:11):

trying to minimize the climatic impact and the output function that will devise

(00:07:17):

will be directly proportional to climatic impact.

(00:07:20):

So what we will try is,

(00:07:22):

we will try to reduce the climatic impact because our title is minimization of

(00:07:28):

climatic impact.

(00:07:31):

So whenever the value is minimum,

(00:07:36):

lesser the value of climatic impact,

(00:07:42):

better is the optimization technique.

(00:07:45):

So when we will get something which is less than all other functional value of the

(00:07:53):

climatic impact function as predicted by the other algorithms,

(00:08:00):

then at that point we will find the optimality.

(00:08:04):

And the corresponding weightage at which we have got this minimum value of the

(00:08:08):

climatic impact function will take that weightage as a guiding factor

(00:08:14):

And we will rank the alternatives accordingly.

(00:08:18):

And the alternatives with the highest weightage factor will be the most preferred alternative.

(00:08:24):

As you know, by alternative I mean the mitigative solution.

(00:08:29):

Because I have earlier said that we will collect suggestions,

(00:08:33):

ideas from all the stakeholders,

(00:08:35):

all the practitioners of climate change and water resource management related studies.

(00:08:41):

all the professionals, all the scientists, as much as we can, the group will make it bigger.

(00:08:49):

And also the local people,

(00:08:51):

because they are the main stakeholders,

(00:08:53):

will enjoy the alternative mitigative strategies.

(00:08:58):

So all these outputs,

(00:09:01):

along with the historical literatures or previously published literatures,

(00:09:08):

those will be used to collect the

(00:09:11):

suggestions or to propose the suggestion and we will try to zero in it zeroed it

(00:09:20):

into the 15 mitigative strategies because we can use delphi for this as there's a

(00:09:27):

lot of population of data collection source lot of sources because there will be

(00:09:33):

professionals there will be academicians there will be local people there can be

(00:09:38):

scientists there can be politicians

(00:09:40):

There can be environmentalist and we will take the previously published literature

(00:09:46):

as one of the source.

(00:09:49):

Okay, so we will categorize them into book, published papers, government reports.

(00:09:55):

Okay,

(00:09:55):

so accordingly we will do a Delphi,

(00:09:58):

we will apply a Delphi and by it we will rank them initially and select the first

(00:10:04):

15 out of them,

(00:10:06):

first 15 mitigative strategies.

(00:10:08):

Then we will employ these

(00:10:10):

new MCDM techniques for the final selection.

(00:10:15):

In this regard, we will use AHP, analytical iterative process.

(00:10:19):

That will be the very validative reference.

(00:10:25):

And then we will use cat swarm, glow worm, and invasive weight optimization technique.

(00:10:32):

And we will use separately fast

(00:10:38):

cat or first invasive, that doesn't matter.

(00:10:42):

One by one we will use it.

(00:10:44):

And as I say,

(00:10:45):

the moment the climate in the right-hand side will keep a function,

(00:10:49):

climatic impact function,

(00:10:51):

which will be directly proportional to climatic impact on water and water-based

(00:10:57):

renewable energy systems.

(00:10:59):

Now, the moment we get a minimum value, the least value among all the algorithms,

(00:11:08):

after iterating for 10,000 times or 1 lakh times, whatever it may be.

(00:11:14):

At that moment,

(00:11:15):

we will take the note down the corresponding weightage and accordingly we will rank

(00:11:19):

the alternatives and the alternative with the maximum weightage will be the most

(00:11:27):

preferred alternative and we will try to propose that alternative to be implemented

(00:11:33):

such that the climatic impacts can be minimized this is i think a very novel study

(00:11:39):

this will be and it will give the governments or policy makers a sub an objective

(00:11:48):

way of alternative selection by which they can save a lot of money.

(00:11:53):

Why you are spending money in measures that are not yielding the results, the desired results.

(00:12:00):

So concentrate your money into those strategies which will actually yield the maximum results.

(00:12:12):

And now you will say how you can decide that this will really

(00:12:16):

yield the maximum result what is the validation this is our optimization in

(00:12:23):

computer right in the lab you are optimizing them so yes that is a very valid

(00:12:28):

question that is why our last target will be to validate it in a prototype we'll

(00:12:37):

select a case study area and we will try to employ that strategy there and then

(00:12:43):

we'll try to measure the impact

(00:12:47):

So,

(00:12:49):

based on the impact,

(00:12:51):

we can decide whether or not this result of ours,

(00:12:57):

after applying this cognitive and hierarchical technique,

(00:13:00):

this new MCDM technique,

(00:13:02):

really whether it is giving any practical results or not.

(00:13:09):

If we are satisfied with the practical results, then only we will suggest it to the government.

(00:13:15):

Otherwise, we will not.

(00:13:17):

right so now you'll see how we will design the prototype now we have said water and

(00:13:22):

water-based renewable energy system in our area there are a lot of wetlands is

(00:13:27):

there in our area a lot of hydro power plant is there so we'll select one of them

(00:13:34):

okay and measure the parameters i will not disclose the parameters because those

(00:13:40):

who will participate only i can disclose those parameters to them only

(00:13:45):

So because I have to maintain some secrecy and after doing these measurements for a

(00:13:54):

specific amount of time where the impact of monsoon will be there,

(00:14:00):

impact of non-monsoon will be there and we can compare the results before the

(00:14:07):

mitigative strategy is employed and after the mitigative strategy is employed.

(00:14:13):

So those comparisons

(00:14:16):

will ensure that whether or not the technique that was selected will really and

(00:14:22):

practically yield a good solution.

(00:14:27):

Right?

(00:14:28):

So that is why this study requires your participation.

(00:14:35):

I will employ, although these are all normal, no salary is there because no funding is there,

(00:14:45):

non-funded programs, and these are entirely controlled by Hydroinformatics Lab of NIT Agatala.

(00:14:56):

So,

(00:14:58):

but yes,

(00:14:58):

we will encourage participation from our different people,

(00:15:02):

especially students of M-Tech,

(00:15:04):

PhD.

(00:15:05):

They can do a two-month internship and get some experience for working, where a novel algorithm

(00:15:14):

nature inspired optimization algorithms is applied and also it is one of the most

(00:15:21):

contemporary problem that is disturbing our world the climate climatic impact and

(00:15:31):

that also specially in case of water and water-based renewable energy systems

(00:15:37):

water-based system like wetlands surface water depressions

(00:15:43):

rivers, lakes, they are already disturbed, that we know.

(00:15:47):

But what about water-based renewable energy system?

(00:15:50):

Here the main fuel is water.

(00:15:53):

Right?

(00:15:54):

So very rare studies were conducted even to judge whether or not there is any

(00:15:59):

climate change impact on water-based renewable energy system.

(00:16:03):

Very few are there.

(00:16:06):

In case of hydropower plant, also, or in case of

(00:16:13):

any wave power plant, you will find one or two studies about this aspect.

(00:16:23):

So I have done some studies on both hydropower plant and this wave power plant.

(00:16:31):

You can find them on the internet by searching my name there.

(00:16:38):

So other than this, there will be mainly three to five works related to this.

(00:16:45):

But this is one of the most important study that we need to adopt.

(00:16:49):

This is one part of it.

(00:16:51):

Then once you establish that there is climatic impact and these impacting those systems,

(00:16:57):

then you must think about the mitigative strategies.

(00:17:01):

And while thinking this, you'll see there will be lots of mitigative strategies.

(00:17:06):

suggested by the various multidisciplinary people so you have need to have some

(00:17:13):

objective methodology to select the best out of them that is why i am using the

(00:17:19):

mcdm technique now mcdm techniques hp is popular but it has some errors like

(00:17:24):

overlapping then it cannot differentiate nearly important alternatives so for all

(00:17:33):

these things i am employing a new system of

(00:17:36):

MCDM where I am employing nature inspired optimization techniques like CAT, GLOW and WIT.

(00:17:44):

These have never been done.

(00:17:47):

Okay, so I will employ that and try to find out the best.

(00:17:51):

Now I will not stop at this.

(00:17:54):

I will experimentally validate them whether this is correct result or not.

(00:18:00):

So for this novel objectives, I need some inspired participants.

(00:18:08):

who can help not only me, but the mankind in accomplishing these objectives.

(00:18:15):

So for this internship, I will take two interns, two month duration.

(00:18:20):

You can do it online, you can do it offline.

(00:18:23):

And also you will get certificate of appreciation.

(00:18:26):

You will get to be the co-author of the publications made from the studies.

(00:18:32):

And also if any book chapters is published, there also you will be a co-author.

(00:18:39):

So all I need is your participation.

(00:18:42):

If you are interested,

(00:18:43):

kindly comment to this post or directly contact me in my email or if this mail is

(00:18:55):

not working,

(00:19:09):

straight away give me an email at mmojumdar15 at the rate gmail.com

(00:19:15):

m-m-a-j-u-m-d-e-r-1-5 at the rate gmail.com.

(00:19:23):

Okay, so I wholeheartedly want that there will be some participation.

(00:19:28):

If more than two applicants are there, I will do a short interview.

(00:19:33):

But I have only two vacancies.

(00:19:38):

So kindly apply as early as possible.

(00:19:43):

Thank you for now and see you in the next podcast.

If you are interested in participating in this internship, please comment on this post or follow the instructions I gave in the audio.

If you are planning to launch your own internship program, please email me at contact@energyinstyle.website. Your internship opportunity will be featured in this newsletter and on our website:

https://energyinstyle.website/

.

Simplify website creation with AI(AD)

Embrace the opportunity to learn about Artificial Intelligence, Flood Prediction, Water Resource Management, and more by clicking here.. You may also promote and earn money selling educational products by becoming an affiliate of Innovate S : our digital shop.

The information provided above is presented in the order in which it was received from the source. The application link and dates are the same as those that were provided by the source. Shared knowledge is based on what is received. the author of this post and HydroGeek are not liable for any liability or damage resulting from the use of this information. Additionally, our Terms and Conditions, Cancellation and Refund Policy as well as our Privacy Policy are presented here for your perusal. After taking into account the honorarium and the cost of maintenance, the amount that is obtained in exchange for the membership fee or through any other methods, if any, is then donated to non-profit organisations.

Festival Offers going on in AJIO (AD)