ERD

Long-term recurrent convolutional networks for non-intrusive load monitoring

Project: BENEFFICE

Updated at: 11-05-2024

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D3.2 Second version of the personalised multi-factorial model

Project: BENEFFICE

Updated at: 11-05-2024

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D4.5 Final BENEFFICE system

Project: BENEFFICE

Updated at: 11-05-2024

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Project acronym BENEFFICE

D2.1 Report on good practices and end users’ requirements of consumers’ models

Project: BENEFFICE

Updated at: 11-05-2024

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Project acronym BENEFFICE

D7.1 Project web site

Project: BENEFFICE

Updated at: 11-05-2024

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D7.2 Project flyer

Project: BENEFFICE

Updated at: 11-05-2024

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Context Aware Energy Disaggregation Using Adaptive Bidirectional LSTM Models

Project: BENEFFICE

Updated at: 11-05-2024

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Project acronym BENEFFICE

Bayesian-optimized Bidirectional LSTM Regression Model for Non-intrusive Load Monitoring

Project: BENEFFICE

Updated at: 11-05-2024

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Project acronym BENEFFICE

Changing User’s energy consumption behavior using IΟT

Project: BENEFFICE

Updated at: 11-05-2024

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Creating a Baseline for Robust Energy Savings Estimation in Households

Project: BENEFFICE

Updated at: 11-05-2024

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Project acronym BENEFFICE

BENEFFICE: Behaviour change, consumption monitoring and analytics with complementary currency rewards

Project: BENEFFICE

Updated at: 11-05-2024

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Project acronym BENEFFICE

D4.4 Final integrated system incl. first version of sensor gateway, energy disaggregation, data analytic algorithms, cre...

Project: BENEFFICE

Updated at: 11-05-2024

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Project acronym BENEFFICE

D4.3 Initial version of the integrated system

Project: BENEFFICE

Updated at: 11-05-2024

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Project acronym BENEFFICE

D5.7 End-Users’ Acceptance Report

Project: BENEFFICE

Updated at: 11-05-2024

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D5.6 End-Users’ Acceptance Report

Project: BENEFFICE

Updated at: 11-05-2024

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Project acronym BENEFFICE

D7.3 Analysis of existing business models and drawbacks based on economic theory

Project: BENEFFICE

Updated at: 11-05-2024

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Project acronym BENEFFICE

Long-term recurrent convolutional networks for non-intrusive load monitoring

Project: BENEFFICE

Updated at: 11-05-2024

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Project acronym BENEFFICE

Multi-Channel Recurrent Convolutional Neural Networks for Energy Disaggregation

Project: BENEFFICE

Updated at: 11-05-2024

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Project acronym BENEFFICE

EnerGAN: A GENERATIVE ADVERSARIAL NETWORK FOR ENERGY DISAGGREGATION

Project: BENEFFICE

Updated at: 11-05-2024

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Project acronym BENEFFICE

Exploitation of the European Research Projects Aiming to Achieve a Behavior Change for Energy Saving Through Innovative ...

Project: BENEFFICE

Updated at: 11-05-2024

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D7.6 Dissemination report including communication material

Project: BENEFFICE

Updated at: 11-05-2024

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D7.7 Dissemination report including communication material

Project: BENEFFICE

Updated at: 11-05-2024

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D4.2 Individually functional system components (Backend – Core system, Sensors gateway, mobile app, analytics, credit ...

Project: BENEFFICE

Updated at: 11-05-2024

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D3.3 Evolved personalised multi-factorial model

Project: BENEFFICE

Updated at: 11-05-2024

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D3.4 Final personalised multi-factorial model

Project: BENEFFICE

Updated at: 11-05-2024

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Periodic Reporting for period 3 - BENEFFICE (Energy Behaviour Change driven by plug-and-play-and-forget ICT and Business...

Project: BENEFFICE

Updated at: 29-07-2022

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Project acronym BENEFFICE

Resources

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Long-term recurrent convolutional networks for non-intrusive load monitoring

D3.2 Second version of the personalised multi-factorial model

D4.5 Final BENEFFICE system

D2.1 Report on good practices and end users’ requirements of consumers’ models

D7.1 Project web site

D7.2 Project flyer

Context Aware Energy Disaggregation Using Adaptive Bidirectional LSTM Models

Bayesian-optimized Bidirectional LSTM Regression Model for Non-intrusive Load Monitoring

Changing User’s energy consumption behavior using IΟT

Creating a Baseline for Robust Energy Savings Estimation in Households

BENEFFICE: Behaviour change, consumption monitoring and analytics with complementary currency rewards

D4.4 Final integrated system incl. first version of sensor gateway, energy disaggregation, data analytic algorithms, cre...

D4.3 Initial version of the integrated system

D5.7 End-Users’ Acceptance Report

D5.6 End-Users’ Acceptance Report

D7.3 Analysis of existing business models and drawbacks based on economic theory

Long-term recurrent convolutional networks for non-intrusive load monitoring

Multi-Channel Recurrent Convolutional Neural Networks for Energy Disaggregation

EnerGAN: A GENERATIVE ADVERSARIAL NETWORK FOR ENERGY DISAGGREGATION

Exploitation of the European Research Projects Aiming to Achieve a Behavior Change for Energy Saving Through Innovative ...

D7.6 Dissemination report including communication material

D7.7 Dissemination report including communication material

D4.2 Individually functional system components (Backend – Core system, Sensors gateway, mobile app, analytics, credit ...

D3.3 Evolved personalised multi-factorial model

D3.4 Final personalised multi-factorial model

Periodic Reporting for period 3 - BENEFFICE (Energy Behaviour Change driven by plug-and-play-and-forget ICT and Business...