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Petri net a scientific modelling language that is used to visually represent a system. It's a commanding language that may be utilized to express concurrent system processes. Users may graphically inspect the entire system and alter it with a Petri net software tool. System's performance may also be examined using a Petri net software tool, produce code, simulate the system, and test the models. This paper will cover the eighteen most recent Petri net tools and offer the readers a description of what a Petri net tool is and describe its key purposes. The reader may learn about the eighteen most recent Petri net tools available from this essay. To this day, several Petri net tools may be downloaded from the internet. This survey article compares 18 Petri net tools from various perspectives. This is significant since consumers won't have to read individual Petri net tool evaluations online. Readers may select best suggested Petri net software tools to employ depending upon their OS and the sorts of Petri net tools to be studied simply by looking at the discussion offered. This survey paper's main goal is to make Petri net tool recommendations according to the types of Petri nets and the operating system that will be examined.

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Predicting sun irradiance has been a crucial subject in the production of renewable energy. Prediction enhances solar system development and operation and provides several financial benefits to power companies. Statistical techniques like artificial neural networks (ANN), support vector machines (SVM), or autoregressive moving average can be used to forecast the irradiance (ARMA). However, because to their scalability or the fact that they are unable to be employed with huge data, they either lack accuracy due to their inability to capture long-term reliance. Thus, in this paper the XGBoost algorithm is implemented for prediction and Optuna Algorithm for Hyper parameter tuning and optimizing the results. Aside from predicting the solar irradiance. It is crucial to create a tool that will estimate the entire amount of energy that can be produced by a solar power plant, array, or household solar setup based on the expected solar radiation and the site's particular solar panel or array parameters. In this work methodology designed and developed a system that will not only predict the solar irradiance for next 15 days based on real time forecast but it will also predict the power generation in units for your solar power panel or array. This system is currently implemented in a webapp that can be accessed through any browser.