Question

The ability to scale up renewable energy and in particular wind power and speed is dependent on the ability to forecast its short term availability soman et al (2010( describe different methods for wind power forecasting (the quote is slightly edited for brevity)

Persistence method: this method is also known as ‘naïve predictor. Its is assumed that the wind speed at time t + tetat will be the same as it was at time t. unbelievably it is more accurate than most of the physical and statistical methods for very short to short term forecasts.

Physical approach: physical systems. Use parameterizations based on a detailed physical description of the atmosphere

Statistical approach: the statistical approach is based on training with measurement data and uses difference between the predicted and the actual wind speeds in immediate past to tune model parameters. It is easy to model, inexpensive, predefined mathematical model and rather it is based on patterns

Hybrid approach: In general, the combination of different approaches such as mixing physical and statistical approaches or combining short term and medium term models etc is referred to as a hybrid approach.

1. For each of the four types of methods, describe whether it is model- based, data -driven, or a combination.
2. For each of the four types of methods, describe whether it is based on extrapolation, causal modeling, correlation modeling or a combination.
3. Describe the advantages and disadvantages of the hybrid approach

Answer 1

Answer :-

The ability to scale up renewable energy and in particular wind power and speed is dependent on the ability to forecast its short term availability power forecasting

(A) Here, we need to find these four are model- based, data -driven, or a combination.

Persistence method :-

it is an information as it takes the momentary information to conjecture he future breeze speed which is expected to stay same in ultra present moment

So, it is a data-driven.

Physical approach :-

It is a blend as it takes the momentary information to show the future breeze speed

Therefore,

It is a combination.

Statistical approach :-

It is a blend as relapse model is utilized to foresee the rates by the power information

Therefore,

It is a combination.

Hybrid approach :-

it is a blend of a few methodologies subsequently it is progressively precise.

Therefore,

It is a combination.

(B) Here, we need to find these four are whether it is based on extrapolation, causal modeling, correlation modeling or a combination.

Persistence method :-

easygoing displaying as it expect in the transient the information won't modify a great deal

Thus it is a casual modeling

Physical approach :-

it is a connection demonstrating as it takes a few whether parameters to foresee the future parameters

Thus, it is a correlation modeling.

Statistical approach :-

This is an extrapolation of the information of current time of information as there is a great deal of arbitrariness the extrapolation probably won't be exact
Thus,

it is an extrapolation.

Hybrid approach :-

it is an ideal blend of the considerable number of models thus has displaying extrapolation relationship to foresee the breeze speed

it is a perfect combination

(C) here we need to explain the advantages and disadvantages of the hybrid approach

The advantages of hybrid approach are :-

it is more exact than every single other strategy

it gives all around enhanced figure execution

it works for ultra present moment and transient medium term also

The di-advantages of hybrid approach are :-

its hard to process and complex in nature

it is unpredictable and different techniques have comparable forecast for ultra present moment.

Thank you