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Development and Application of an Open Power Meter Suitable for NILM
by
Manzano-Agugliaro, Francisco
, Alcayde, Alfredo
, Portillo, Francisco
, Rodríguez-Navarro, Carlos
, Martínez, Fernando
in
Accuracy
/ Algorithms
/ Alternative energy
/ Appliances
/ Combinatorial analysis
/ Datasets
/ Electrical measurement
/ electrical measurement accuracy
/ Electricity
/ Electricity distribution
/ Energy consumption
/ Energy efficiency
/ Energy industry
/ Energy management
/ Energy management systems
/ Energy minerals
/ Fossil fuels
/ Hardware
/ innovative metering technology
/ Markov chains
/ Markov processes
/ Monitoring
/ Neural networks
/ non-intrusive load monitoring
/ open hardware energy monitoring
/ Open source software
/ Optimization
/ Optimization techniques
/ Power management
/ Sensors
/ Video monitors
2024
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Development and Application of an Open Power Meter Suitable for NILM
by
Manzano-Agugliaro, Francisco
, Alcayde, Alfredo
, Portillo, Francisco
, Rodríguez-Navarro, Carlos
, Martínez, Fernando
in
Accuracy
/ Algorithms
/ Alternative energy
/ Appliances
/ Combinatorial analysis
/ Datasets
/ Electrical measurement
/ electrical measurement accuracy
/ Electricity
/ Electricity distribution
/ Energy consumption
/ Energy efficiency
/ Energy industry
/ Energy management
/ Energy management systems
/ Energy minerals
/ Fossil fuels
/ Hardware
/ innovative metering technology
/ Markov chains
/ Markov processes
/ Monitoring
/ Neural networks
/ non-intrusive load monitoring
/ open hardware energy monitoring
/ Open source software
/ Optimization
/ Optimization techniques
/ Power management
/ Sensors
/ Video monitors
2024
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Do you wish to request the book?
Development and Application of an Open Power Meter Suitable for NILM
by
Manzano-Agugliaro, Francisco
, Alcayde, Alfredo
, Portillo, Francisco
, Rodríguez-Navarro, Carlos
, Martínez, Fernando
in
Accuracy
/ Algorithms
/ Alternative energy
/ Appliances
/ Combinatorial analysis
/ Datasets
/ Electrical measurement
/ electrical measurement accuracy
/ Electricity
/ Electricity distribution
/ Energy consumption
/ Energy efficiency
/ Energy industry
/ Energy management
/ Energy management systems
/ Energy minerals
/ Fossil fuels
/ Hardware
/ innovative metering technology
/ Markov chains
/ Markov processes
/ Monitoring
/ Neural networks
/ non-intrusive load monitoring
/ open hardware energy monitoring
/ Open source software
/ Optimization
/ Optimization techniques
/ Power management
/ Sensors
/ Video monitors
2024
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Development and Application of an Open Power Meter Suitable for NILM
Journal Article
Development and Application of an Open Power Meter Suitable for NILM
2024
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Overview
In the context of the global energy sector’s increasing reliance on fossil fuels and escalating environmental concerns, there is an urgent need for advancements in energy monitoring and optimization. Addressing this challenge, the present study introduces the Open Multi Power Meter, a novel open hardware solution designed for efficient and precise electrical measurements. This device is engineered around a single microcontroller architecture, featuring a comprehensive suite of measurement modules interconnected via an RS485 bus, which ensures high accuracy and scalability. A significant aspect of this development is the integration with the Non-Intrusive Load Monitoring Toolkit, which utilizes advanced algorithms for energy disaggregation, including Combinatorial Optimization and the Finite Hidden Markov Model. Comparative analyses were performed using public datasets alongside commercial and open hardware monitors to validate the design and capabilities of this device. These studies demonstrate the device’s notable effectiveness, characterized by its simplicity, flexibility, and adaptability in various energy monitoring scenarios. The introduction of this cost-effective and scalable tool marks a contribution to the field of energy research, enhancing energy efficiency practices. This research provides a practical solution for energy management and opens advancements in the field, highlighting its potential impact on academic research and real-world applications.
Publisher
MDPI AG
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