AI Artificial Intelligence in energy




Artificial Intelligence in Electricity Especially in the field of forecasts, AI can help facilitate and speed up the integration of renewables. Machine Learning and Neural Networks play an important role in improving forecasts in the energy industry.

AI supported maintenance and reliability system in wind energy production
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The paper describes the result of the research in the fields of supervision, failure detection and prognosis, control, maintenance planning and decision support performed for ensuring high level availability of wind turbines and wind farms. This activity is realized in the frame of

Development of an Open AI Energy Market Simulator for Deep Learning
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Restructured electricity markets such as Australias National Electricity Market (NEM) feature complex auction mechanisms that are intended to incentivise participants to reveal their true costs so that efficient investment and operational decisions can be made. A major problem

Blockchain and AI for the Next Generation Energy Grids: Cybersecurity Challenges and Opportunities
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Renewable energy sources and the increasing interest in green energy have been the driving forces behind many innovations in the energy sector, such as how utility companies interact with their customers and vice versa. The introduction of smart grids is one of these

Making decisions about saving energy in Compressed Air Systems using Ambient Intelligence and AI
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Compressed air systems are often the most expensive and inefficient industrial systems. For every 10 units of energy , less than 1 unit turns into useful compressed air. Air compressors tend to be kept fully on even if they are not (all) needed. The research proposed in this short

AI supported maintenance and reliability system in wind energy production
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The environmental effects of wind power are relatively minor, compared to those of more traditional energy sources. Among the renewable energy arts wind energy plays a significant role and, as forecasted its ratio within the total energy production will rapidly

Optical orientation of excitons induced by an energy -level anticrossing and by cross-relaxation in type-l Ga As/ AI As superlattices
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An optical orientation of excitons has been observed in type-I GaAs/AlAs superlattices in a narrow interval of magnetic fields during nonresonant excitation by unpolarized light. The magnetic field strength at which the optical orientation occurs depends sharply on the

Assessment of energy expenditure for physical activity using a triax ai
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ABSTRACT Assessment of energy expenditure for physical activity using a triaxial accelerometer. A triaxial accelerometer was used

Energy Evaluation of Sensor Protocol based on AI Techniques using CRAWDAD Data
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Wireless sensor networks (WSNs) are one of popular communication networks that have garnered most prominent research attention due to their flexibility to sense physical environment parameters and converts into signal form. Battery power is limitation of WSN ie

Harnessing Human Energy to Renew Positive Organizational Climate: Reflections of an AI Practitioner and an Invitation to Action.
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Scientists in the 1980s experienced great resistance when they began to present the idea of global climate change, and the idea that human beings need to change their behavior to reduce the levels of greenhouse gases in the atmosphere. Around the same time, David

Energy -Efficiency Improvement in Mine-Railway Operation Using AI
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The mining industry consumes an enormous amount of energy globally, the main part of which is conservable. Diesel is a key source of energy in mining operations, and mine locomotives have significant diesel consumption. Train speed has been recognized as the

AN IDENTIFICATION AND ESTIMATION OF SOLAR ENERGY IN INDIA USING FUZZY LOGIC ( AI ) TECHNIQUE
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The Solar energy offers a clean, renewable and domestic energy source and is essential component of a sustainable energy in future. For solar power generation, knowledge of global solar irradiance at a particular location is utmost important. Global solar irradiance

A Cloud Security with Performance Increase and Energy Efficient using AI with DCS and PDC
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Now a day, the contents construction is changed dynamically according to a users request, and has been widespreading across the sensor nodes. This paper proposes a technique to fast response to the dynamic content of various sensor nodes by the help of cache

Interpretation of high- energy x-ray satellites of L 3 emission bands of Na, Mg, AI and Si
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The high- energy satellite of the L 3 x-ray emission band in Na, Mg A1 and Si has for a long time been attributed to the decay of an initial state with two holes in the 2p shell. In particular. the satellite threshold has been assigned to an initial (2p2)D state. It has recently been

Implementation of Data Aggregation Protocol for Wireless Sensor Networks and Ai to Minimize the Energy Consumption in Surface and Underground Mining
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The wireless sensor network is a vast, wide range application in which many researches are continuing now a days. In WSN, the most prominent area of research is, how the WSN imparts a important role in the modern era of technology. As we know that, In WSN the

Energy Fluctuation of Ideal Fermi Gas Trapped under Generic Power Law Potential U=∑ di= ci\xi/ ai \ni in d Dimensions
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Energy fluctuation of ideal Fermi gas trapped under generic power law potential U=∑ di= 1 ci| xi/ ai | ni has been calculated in arbitrary dimensions. Energy fluctuation is scrutinized further in the degenerate limit KB T with the help of Sommerfeld expansion. The

AI Blokhin II Degtyarev2 1Institute of Physics and Power Engineering, 249020 Obninsk, Russia 2Institute for High Energy Physics, Protvino, Russia
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In this paper are reported the results of physical verification for the BOFOD photonuclear data files available for the uranium isotopes 235 U, 238 U. These results were compared with calculated data by the parameterization driven model of photonuclear reaction and

A model to produce combined clean energy at any scale maintained by hi-tech artificial intelligence ( AI ) and internet of things (IOT)
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It is unquestionable that we have a few limited sources of natural energies around the world and so we need to move toward producing and using renewable energies as much as we can. Now its important to focus on discovering more efficient ways to produce clean energy

Energy Extraction Analysis of the Ocean Grazer WEC via Digital Particle Image
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1Faculty of Mathematics and Natural Sciences, University of Groningen, Groningen 9747AG, the Netherlands. 2Costa Rica Institute of Technology, Electronics Engineering School, PO box