ENERGY MANAGEMENT FROM THE PERSPECTIVE OF ARTIFICIAL INTELLIGENCE

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Author: madridbg@madridbg, through Power Point 2010, using public domain images.

Welcome dear readers of this prestigious platform, serve this publication to address aspects of technological interest applied to energy management, the same is supported by artificial intelligence Big Data, to give greater efficiency to the processes applied in obtaining electricity, likewise these latest technology equipment have the ability to self-learn and replicate under a strict database, the best results and the highest efficiency obtained in a given period of time.
As has been constant in my publications with scientific and technological contributions, these are usually shared through the project.hope@project.hope community who are trending in this type of content.
In this sense, to start this publication we will begin by addressing the operations carried out in the company Ampere Energy, which has revolutionized the process of energy consumption and generation since the company has established efficient patterns to promote the use of photovoltaic cells in strategic locations according to data obtained by artificial intelligence (AI) the same assumes that solar radiation does not affect with the same intensity in all parts of our globe.
According to artificial intelligence, we must establish that they are processes with certain autonomy that allows them to make timely decisions before unforeseen events already solved, in this particular study the areas of greater incidence of solar radiation allows to obtain greater amount of electricity that would benefit more inhabitants per square kilometer.
Fig. 2 Artificial intelligence in the control of electrical energy. Author: Gerd Altmann
Undoubtedly the software designed by the company, has given much to talk about due to its technological advances and the accuracy of its behavior, it has the ability to manage the charging and discharging of the batteries associated with the physical device. Depending on the use of energy, the system predicts the right time to generate charge so that there are no energy variations in user demand.
Therefore in countries where fluctuations are so visible, the device can serve a dual function. On the one hand, it stabilizes the electrical fluctuations and on the other hand it provides us with autonomy to be able to operate in cases of failures of the electrical service of our distributor of the same.
The software is able to foresee or anticipate the user's actions, since it allows to make an estimation of the energy consumption as well as the amount of energy generated. Approximations that are calculable through the correlation of variables such as irradiation and energy production, this when relying on photovoltaic cells.
Fig. 3 Photovoltaic cell system. Author: Sebastian Ganso
Undoubtedly it is a great advance in electrical matters that would adapt precisely to countries like ours (Venezuela) where we are experiencing major problems in terms of generation and maintenance of loads. In this sense, if you have found this information useful, I invite you to leave your contribution in the comment section.

BIBLIOGRAPHY CONSULTED


[1] Daniel Barberá Santos. Introduction to Photovoltaic Energy. Article: Online Access

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ENERGY MANAGEMENT FROM THE PERSPECTIVE OF ARTIFICIAL INTELLIGENCE | Ecency