Driven by data or derived through physics? a review of hybrid physics guided machine learning techniques with cyber-physical system (cps) focus
A multitude of cyber-physical system (CPS) applications, including design, control,
diagnosis, prognostics, and a host of other problems, are predicated on the assumption of …
diagnosis, prognostics, and a host of other problems, are predicated on the assumption of …
A brief survey of machine learning methods and their sensor and IoT applications
US Shanthamallu, A Spanias… - … & Applications (IISA), 2017 - ieeexplore.ieee.org
This paper provides a brief survey of the basic concepts and algorithms used for Machine
Learning and its applications. We begin with a broader definition of machine learning and …
Learning and its applications. We begin with a broader definition of machine learning and …
Solar energy management as an Internet of Things (IoT) application
AS Spanias - 2017 8th International Conference on Information …, 2017 - ieeexplore.ieee.org
Photovoltaic (PV) array analytics and control have become necessary for remote solar farms
and for intelligent fault detection and power optimization. The management of a PV array …
and for intelligent fault detection and power optimization. The management of a PV array …
Solar array fault detection using neural networks
In this paper, we describe a Cyber-Physical system approach to fault detection in
Photovoltaic (PV) arrays. More specifically, we explore customized neural network …
Photovoltaic (PV) arrays. More specifically, we explore customized neural network …
[图书][B] Machine learning for solar array monitoring, optimization, and control
The efficiency of solar energy farms requires detailed analytics and information on each
panel regarding voltage, current, temperature, and irradiance. Monitoring utility-scale solar …
panel regarding voltage, current, temperature, and irradiance. Monitoring utility-scale solar …
A survey on policies, modelling and security of cyber‐physical systems in smart grids
A more reliable, efficient, and resilient smart grid depends on the applications of advanced
information and communication technologies to support new functions and controls. The …
information and communication technologies to support new functions and controls. The …
Optimizing solar power using array topology reconfiguration with regularized deep neural networks
V Narayanaswamy, R Ayyanar… - IEEE …, 2023 - ieeexplore.ieee.org
Reconfiguring photovoltaic (PV) array connections among different topologies such as
series-parallel, bridge-link, honeycomb, or total-cross-tied is a popular strategy to mitigate …
series-parallel, bridge-link, honeycomb, or total-cross-tied is a popular strategy to mitigate …
Connection topology optimization in photovoltaic arrays using neural networks
VS Narayanaswamy, R Ayyanar… - … on Industrial Cyber …, 2019 - ieeexplore.ieee.org
A cyber-physical system (CPS) approach for optimizing the output power of photovoltaic
(PV) energy systems is proposed. In particular, a novel connection topology reconfiguration …
(PV) energy systems is proposed. In particular, a novel connection topology reconfiguration …
IoT enabled smart solar panel monitoring system based on Boltuino platform
A Mondal, MJ Ali, P Dutta - 2022 IEEE International IOT …, 2022 - ieeexplore.ieee.org
Renewable energy sources have been proven to be reliable, and they are also thought to be
the best way to meet our growing energy needs. The rising interest in solar power …
the best way to meet our growing energy needs. The rising interest in solar power …
SolarDiagnostics: Automatic damage detection on rooftop solar photovoltaic arrays
Homeowners are increasingly deploying rooftop solar photovoltaic (PV) arrays due to the
rapid decline in solar module prices. However, homeowners may have to spend up to∼ …
rapid decline in solar module prices. However, homeowners may have to spend up to∼ …