LEVERAGING AI FOR DYNAMIC AND ADAPTIVE CONTROL TO MAXIMIZE EFFICIENCY IN SOLAR POWER GENERATION

Abstract

Leveraging AI for Dynamic and Adaptive Control to Maximize Efficiency in Solar Power Generation is the proposed invention. The proposed invention focuses on understanding the functions of Dynamic and Adaptive Control. The invention focuses on analyzing the parameters of Maximize Efficiency in Solar Power Generation using algorithms of AI Approach.

Specification

Description:[0001] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0002] Leveraging artificial intelligence (AI) means using AI's capabilities to improve processes, make decisions, and gain insights. AI can help businesses make data-driven decisions by optimizing processes and gaining insights. AI can help improve customer service and customer lifetime value through features like chatbots and AI personalization. AI can be incorporated into the education process to help students stay ahead.
[0003] A number of different types of solar power generation analysis systems that are known in the prior art. For example, the following patents are provided for their supportive teachings and are all incorporated by reference.
[0004] US8563845B2: An apparatus for powering a load from solar energy comprises a DC/DC converter, battery terminals coupled to an output of the DC/DC converter and coupleable to an energy storage device, and solar panel terminals coupled to an input of the DC/DC converter and coupleable to a solar panel. Logic is coupled to the converter to control its conversion rate. A detector is coupled to the converter and detects its power output. The logic is operable to adjust the conversion rate until the solar panel operates at the smaller of a maximum power point of the solar panel and a power point of the solar panel that results in a maximum desired power.
[0005] Dynamic control refers to a method of managing a system by constantly adjusting control parameters based on real-time feedback, allowing the system to adapt to changing conditions and maintain desired behavior, often involving a model that predicts future states and optimizes actions accordingly; essentially, it's about actively managing a system that is not static and can change over time, like a car's stability control system adjusting braking pressure based on road conditions. The proposed invention focuses on analyzing the Maximize Efficiency in Solar Power Generation through algorithms of AI Approach.
[0006] Above information is presented as background information only to assist with an understanding of the present disclosure. No determination has been made, no assertion is made, and as to whether any of the above might be applicable as prior art with regard to the present invention.
[0007] In the view of the foregoing disadvantages inherent in the known types of solar power generation analysis systems now present in the prior art, the present invention provides an improved system. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved Artificial intelligence integrated techniques for predicting the and leveraging the energy generated using solar power systems that has all the advantages of the prior art and none of the disadvantages.
SUMMARY OF INVENTION
[0008] In the view of the foregoing disadvantages inherent in the known types of solar power generation analysis systems now present in the prior art, the present invention provides an improved one. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved Artificial intelligence integrated techniques for predicting the and leveraging the energy generated using solar power systems which has all the advantages of the prior art and none of the disadvantages.
[0009] The Main objective of the proposed invention is to design & implement a framework of AI techniques for analyzing the parameters of Maximize Efficiency in Solar Power Generation. Leveraging AI for Dynamic and Adaptive Control is analyzed.
[0010] Yet another important aspect of the proposed invention is to design & implement a framework of AI techniques that will consider on understanding the functions of Dynamic and Adaptive Control. Maximize Efficiency in Solar Power Generation is analyzed by predictive unit. The results of prediction are displayed on the display unit.
[0011] In this respect, before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not limited in its application to the details of construction and to the arrangements of the components set forth in the following description or illustrated in the various ways. Also, it is to be understood that the phraseology and terminology employed herein are for the purpose of description and should not be regarded as limiting.
[0012] These together with other objects of the invention, along with the various features of novelty which characterize the invention, are pointed out with particularity in the disclosure. For a better understanding of the invention, its operating advantages and the specific objects attained by its uses, reference should be had to the accompanying drawings and descriptive matter in which there are illustrated preferred embodiments of the invention.
BRIEF DESCRIPTION OF DRAWINGS
[0013] The invention will be better understood and objects other than those set forth above will become apparent when consideration is given to the following detailed description thereof. Such description makes reference to the annexed drawings wherein:
Figure 1 illustrates the schematic view of Leveraging AI for Dynamic and Adaptive Control to Maximize Efficiency in Solar Power Generation, according to the embodiment herein.
DETAILED DESCRIPTION OF INVENTION
[0014] In the following detailed description, reference is made to the accompanying drawings which form a part hereof, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention, and it is to be understood that the embodiments may be combined, or that other embodiments may be utilized and that structural and logical changes may be made without departing from the spirit and scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims and their equivalents.
[0015] While the present invention is described herein by way of example using several embodiments and illustrative drawings, those skilled in the art will recognize that the invention is neither intended to be limited to the embodiments of drawing or drawings described, nor intended to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated in certain figures, for ease of illustration, and such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the invention covers all modification/s, equivalents and alternatives falling within the spirit and scope of the present invention as defined by the appended claims. The headings are used for organizational purposes only and are not meant to limit the scope of the description or the claims. As used throughout this description, the word "may" be used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Further, the words "a" or "a" mean "at least one" and the word "plurality" means one or more, unless otherwise mentioned. Furthermore, the terminology and phraseology used herein is solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed thereafter, equivalents, and any additional subject matter not recited, and is not intended to exclude any other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents, acts, materials, devices, articles and the like are included in the specification solely for the purpose of providing a context for the present invention.
[0016] In this disclosure, whenever an element or a group of elements is preceded with the transitional phrase "comprising", it is understood that we also contemplate the same element or group of elements with transitional phrases "consisting essentially of, "consisting", "selected from the group consisting of", "including", or "is" preceding the recitation of the element or group of elements and vice versa.
[0017] Adaptive control is a control method that automatically adjusts a system's parameters to compensate for changing conditions. Adaptive control systems are used to improve the performance of a system by tuning controllers, building gain schedules, and maintaining system performance. Adaptive control systems are suitable for mechanical systems that have well-understood dynamics and do not have significant time delays.
[0018] "Maximizing efficiency in solar power generation" means to get the most possible electricity output from a solar panel system by optimizing factors like panel placement, angle, cleanliness, and technology, ensuring they capture the maximum amount of sunlight and convert it into electricity with minimal losses; essentially, making the solar system operate at its highest possible potential. The proposed invention focuses on implementing the algorithms of AI Approach for studying the functions of Dynamic and Adaptive Control.
[0019] Reference will now be made in detail to the exemplary embodiment of the present disclosure. Before describing the detailed embodiments that are in accordance with the present disclosure, it should be observed that the embodiment resides primarily in combinations arrangement of the system according to an embodiment herein and as exemplified in FIG. 1
[0020] Figure 1 illustrates the schematic view of Leveraging AI for Dynamic and Adaptive Control to Maximize Efficiency in Solar Power Generation 100. The proposed invention 100 includes a solar panel 101 which is monitored and analysed for its power using analysis unit 102. The artificial intelligence unit 103 will run predictive unit 104 which will predict how the efficiency of solar panel 101 can be improved. The IOT unit 105 will alert the solar panel 101 such that its efficacy can be improved.
[0021] In the following description, for the purpose of explanation, numerous specific details are set forth in order to provide a thorough understanding of the arrangement of the system according to an embodiment herein. It will be apparent, however, to one skilled in the art that the present embodiment can be practiced without these specific details. In other instances, structures are shown in block diagram form only in order to avoid obscuring the present invention.
, Claims:1. Leveraging AI for Dynamic and Adaptive Control to Maximize Efficiency in Solar Power Generation, comprises of:
Artificial intelligence unit;
Predictive unit and
IOT unit.
2. Leveraging AI for Dynamic and Adaptive Control to Maximize Efficiency in Solar Power Generation, according to claim 1, includes an artificial intelligence unit, wherein the artificial intelligence unit will run predictive unit.
3. Leveraging AI for Dynamic and Adaptive Control to Maximize Efficiency in Solar Power Generation, according to claim 1, includes a predictive unit, wherein the predictive unit will predict how the efficiency of solar panel can be improved.
4. Leveraging AI for Dynamic and Adaptive Control to Maximize Efficiency in Solar Power Generation, according to claim 1, includes an IOT unit, wherein the IOT unit will alert the solar panel such that its efficacy can be improved.

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