Demand-side management in Grid-Connected Energy Storage System using Deep Neural Network
MATLAB Model: https://zurl.co/dTwnM
https://zurl.co/2TLNo
#DemandSideManagement #EnergyStorage #GridConnected #NeuralNetwork #DeepLearning #SmartGrid #EnergyEfficiency #RenewableEnergy #CleanEnergy #SmartTechnology #EnergyManagement #ElectricGrid #SustainableEnergy #TechInnovation #PowerSystems
Recent searches
Search options
Administered by:
#neuralnetwork
3 posts3 participants1 post today
MATLAB Simulation of PSO Trained Neural Network MPPT for Solar PV system
Simulates PSO-trained neural network for solar PV maximum power point tracking.
MATLAB Model: https://zurl.co/w25Ac
https://zurl.co/Vqu1e
#MATLAB #Simulation #PSO #NeuralNetwork #MPPT #SolarPV #RenewableEnergy #SmartGrid #EnergyEfficiency #CleanEnergy #TechInnovation #SolarPower #EnergyOptimization #ArtificialIntelligence #MachineLearning
https://github.com/babycommando/neuralgraffiti #Art #NeuralNetwork #JacksonPollock #CreativeDoodles #LiquidMemory #HackerNews #ngated
GitHubGitHub - babycommando/neuralgraffiti: Live-bending a foundation model’s output at neural network level.Live-bending a foundation model’s output at neural network level. - babycommando/neuralgraffiti
Neural network-based fault detection, location and classification in microgrid
MATLAB Model: https://zurl.co/WJIDx
https://zurl.co/77VMM
#NeuralNetwork #FaultDetection #Microgrid #SmartGrid #RenewableEnergy #AIinEnergy #GridReliability #EnergyInnovation #FaultClassification
Neural Network MPPT with NASA/POWER Irradiance and Temperature Data
MATLAB Model: https://zurl.co/taom0
https://zurl.co/nruVe
#NeuralNetwork #MPPT #SolarEnergy #NASA #POWERData #Irradiance #Temperature #RenewableEnergy #GreenTech #AI
Dynamic Fault Tolerance for Cascaded Multilevel Inverters Using Neural Network
MATLAB Model: https://zurl.co/Dpa2H
https://zurl.co/pyMc0
#FaultTolerance #NeuralNetwork #MultilevelInverters #MATLAB #Simulation #PowerElectronics #ControlSystems #EnergyManagement #ElectricalEngineering #AdvancedControl #InverterTechnology #GridReliability #MachineLearning #FaultDetection #SmartGrid
MATLAB uses neural networks to manage energy in PV-powered EV charging.
MATLAB Model: https://zurl.co/uWlzH
https://zurl.co/TzDbP
#NeuralNetwork #EnergyManagement #PV #EVChargingStation #MATLAB #Simulation #RenewableEnergy #MachineLearning #ControlSystems #GreenTechnology #EnergyEfficiency #SustainableEnergy #ElectricalEngineering #SmartGrid #PowerElectronics
В #PowerToys добавили ИИшницу для #OCR и и преобразования текста. Радостно! (#НаСамомДелеНет).
Neural network-based fault-tolerant system enhances reliability in cascaded multilevel inverters.
https://zurl.co/rv2Ut
https://zurl.co/PO2Xx
#NeuralNetwork #FaultTolerance #MultilevelInverter #PowerGrid #RenewableEnergy #GridStability #Electricity #PowerSystems
MATLAB Implementation of Neural Network Based MPPT for Solar PV System
Uses neural networks for optimal power point tracking in solar PV systems.
For Indian Customer: https://zurl.co/AduTF
For International Customers other than India https://zurl.co/JaqAR
https://zurl.co/LxIoI
#MATLAB #NeuralNetwork #MPPT #SolarPV #RenewableEnergy #CleanEnergy #EnergyEfficiency #TechInnovation #SmartGrid #SolarPower #EnergyOptimization #ArtificialIntelligence #MachineLearning #ElectricGrid #Engineering
MATLAB Simulation of PSO Trained Neural Network MPPT for Solar PV System
MATLAB Model: https://zurl.co/446Jl
https://zurl.co/lvRxZ
#MATLABSimulation #PSO #NeuralNetwork #MPPT #SolarPVSystem #RenewableEnergy #SolarEnergy #MaximumPowerPointTracking #MATLABProgramming
Презирая законы смерти, отрицая науку горя, обожает послушать Верди тайный оборотень Григорий. Носит дедовские подтяжки, перманентно грустит о детстве. Пьет вискарь из армейской фляжки, впрочем, редко и без последствий, впрочем, как-то ему влетело от заезжего нувориша.
Ерунда. Человечьим телом остаётся доволен Гриша. Только каждой весной на небо выползает луна, сверкая. Уповать на луну нелепо, но ты знаешь, она какая. Тихо катится над поселком неприкаянных душ спасатель. Поневоле завоешь волком.
Гриша, к вящей его досаде, бесконечной его обиде, не достойной четверостишья, покидает в ночи обитель. Обречён становиться мышью. Грызть морковку, пищать в кунжуте, развлекаться в полях совхоза. Смерть боится мышей до жути, до истерики, до психоза. Мышь опаснее приворота, чернокнижника или нага.
Мышь Григорий мужского рода. Только пишется с мягким знаком. Лысый, с пузиком, в телогрейке, неестественного формата.
Плотник Вася — магистр рейки — должен был умереть. Куда там. Для костлявой вся жизнь рутина, у начальства не забалуешь. Но Григорий бежал, скотина, зубоскаля напропалую, и налево бежал, и прямо, и по ящикам, где консервы. Смерть — внимание — тоже дама, у нее, между прочим, нервы.
Между прочим, почётный житель, даже лично знакома с Данте:
— сами, дурни, косой машите. Расплодили мышей-мутантов.
Изучая проблемы страха и достоинства аллегорий, обожает послушать Баха тайный оборотень Григорий, гордый титулом мракоборца. Тени шастают между ёлок. Гриша снова в углу скребётся. Смерть боится идти в посёлок.
КДПВ #generated by #DALLE3 #NeuralNetwork
You can tell a lot about a person by looking into their eyes, more specifically, retinal scans offer non-invasive views of the central nervous and circulatory systems and can diagnose non-ocular diseases like Parkinson's even before symptoms.
researchinenglish.comNew Retinal Scan AI Helps Find Disease IndicatorsResearchers have developed a lightweight neural network for retinal vessel segmentation that significantly enhances diagnostic accuracy for systemic dis...
How to Securely Implement #Cryptography in Deep Neural Networks
IACR Cryptology ePrint Archive · How to Securely Implement Cryptography in Deep Neural NetworksThe wide adoption of deep neural networks (DNNs) raises the question of how can we equip them with a desired cryptographic functionality (e.g, to decrypt an encrypted input, to verify that this input is authorized, or to hide a secure watermark in the output). The problem is that cryptographic primitives are typically designed to run on digital computers that use Boolean gates to map sequences of bits to sequences of bits, whereas DNNs are a special type of analog computer that uses linear mappings and ReLUs to map vectors of real numbers to vectors of real numbers. This discrepancy between the discrete and continuous computational models raises the question of what is the best way to implement standard cryptographic primitives as DNNs, and whether DNN implementations of secure cryptosystems remain secure in the new setting, in which an attacker can ask the DNN to process a message whose "bits" are arbitrary real numbers.
In this paper we lay the foundations of this new theory, defining the meaning of correctness and security for implementations of cryptographic primitives as ReLU-based DNNs. We then show that the natural implementations of block ciphers as DNNs can be broken in linear time by using such nonstandard inputs. We tested our attack in the case of full round AES-128, and had $100\%$ success rate in finding $1000$ randomly chosen keys. Finally, we develop a new method for implementing any desired cryptographic functionality as a standard ReLU-based DNN in a provably secure and correct way. Our protective technique has very low overhead (a constant number of additional layers and a linear number of additional neurons), and is completely practical.
American companies lost $1 trillion in a single day due to DeepSeek, a new Chinese AI.
ALT
Earth's Oceans Are Filled With What Scientists Are Calling ‘Dark Vessels’ | Satellite Mapping Reveals Extensive Industrial Activity At Sea
--
https://www.earth.com/news/dark-vessels-most-industrial-fishing-activity-is-not-publicly-tracked/ <-- shared technical article
--
https://doi.org/10.1038/s41586-023-06825-8 <-- shared paper
--
https://dialogo-americas.com/articles/chinas-rampant-illegal-fishing-is-endangering-the-environment-and-the-global-economy/ <-- shared opinion piece
--
#GIS #spatial #mapping #remotesensing #satellite #illegalfishing #tracking #AI #statesponsored #deeplearning #darkvessels #GPS #transmitters #AIS #turnedoff #maritime #marine #vessels #foodsecurity #sustainability #global #globalsecurity #transponders #smuggling #illegal #commercialfishing #transport #energy #oil #gas #shipping #resources #Sentential #Sentential1 #spatialanalysis #spatiotemporal #realtime #model #modeling #neuralnetwork #accuracy #radar #SAR #cargoship #infrastructure #ocean #worldwide #humanrights #MPAs #coast #coastal #EEZs #tankers #industrial #sea #windfarms
ALT
ALT
ALT
ALT
Mathematics of neural networks (Lecture notes graduate course). ~ Bart M.N. Smets. https://arxiv.org/abs/2403.04807 #NeuralNetwork #Math
arXiv.orgMathematics of Neural Networks (Lecture Notes Graduate Course)These are the lecture notes that accompanied the course of the same name that I taught at the Eindhoven University of Technology from 2021 to 2023. The course is intended as an introduction to neural networks for mathematics students at the graduate level and aims to make mathematics students interested in further researching neural networks. It consists of two parts: first a general introduction to deep learning that focuses on introducing the field in a formal mathematical way. The second part provides an introduction to the theory of Lie groups and homogeneous spaces and how it can be applied to design neural networks with desirable geometric equivariances. The lecture notes were made to be as self-contained as possible so as to accessible for any student with a moderate mathematics background. The course also included coding tutorials and assignments in the form of a set of Jupyter notebooks that are publicly available at https://gitlab.com/bsmetsjr/mathematics_of_neural_networks.