Solar Forecasting in Hawaii

Solar Forecasting in Hawaii

1-Day Ahead Solar Site Solar Forecasting in Oahu

Internet of Things, Artificial Intelligence

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Description

Energy companies in Hawaii have started to use solar energy harvested in power plants as a more cost-effective alternative to provide energy to consumers. A problem with this renewable alternative is the dependence on weather, and consequent unpredictability of the next day solar irradiation.

In the University of Hawaii at Manoa ICS department together with Hawaiian Electric (HECO), I've investigated how to identify such patterns using probabilistic models and information theory.

More details of this work can be found on the International Conference on Machine Learning and Applications (ICMLA 2015).

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ICMLA 2015 Paper

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Carlos P. added photos to project Solar Forecasting in Hawaii

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Solar Forecasting in Hawaii

Energy companies in Hawaii have started to use solar energy harvested in power plants as a more cost-effective alternative to provide energy to consumers. A problem with this renewable alternative is the dependence on weather, and consequent unpredictability of the next day solar irradiation.

In the University of Hawaii at Manoa ICS department together with Hawaiian Electric (HECO), I've investigated how to identify such patterns using probabilistic models and information theory.

More details of this work can be found on the International Conference on Machine Learning and Applications (ICMLA 2015).

Linkedin avatar

Carlos P. added photos to project Solar Forecasting in Hawaii

Medium 490f0775 767b 47a7 b4ef cd869a5ba744

Solar Forecasting in Hawaii

Energy companies in Hawaii have started to use solar energy harvested in power plants as a more cost-effective alternative to provide energy to consumers. A problem with this renewable alternative is the dependence on weather, and consequent unpredictability of the next day solar irradiation.

In the University of Hawaii at Manoa ICS department together with Hawaiian Electric (HECO), I've investigated how to identify such patterns using probabilistic models and information theory.

More details of this work can be found on the International Conference on Machine Learning and Applications (ICMLA 2015).

Linkedin avatar

Carlos P. added photos to project Solar Forecasting in Hawaii

Medium c0d7e87b 4654 4c6a 977e f6184b59bd96

Solar Forecasting in Hawaii

Energy companies in Hawaii have started to use solar energy harvested in power plants as a more cost-effective alternative to provide energy to consumers. A problem with this renewable alternative is the dependence on weather, and consequent unpredictability of the next day solar irradiation.

In the University of Hawaii at Manoa ICS department together with Hawaiian Electric (HECO), I've investigated how to identify such patterns using probabilistic models and information theory.

More details of this work can be found on the International Conference on Machine Learning and Applications (ICMLA 2015).

Linkedin avatar

Carlos P. added photos to project Solar Forecasting in Hawaii

Medium d6dcd9ad f0ab 4f37 a8f1 cab79daa8ff1

Solar Forecasting in Hawaii

Energy companies in Hawaii have started to use solar energy harvested in power plants as a more cost-effective alternative to provide energy to consumers. A problem with this renewable alternative is the dependence on weather, and consequent unpredictability of the next day solar irradiation.

In the University of Hawaii at Manoa ICS department together with Hawaiian Electric (HECO), I've investigated how to identify such patterns using probabilistic models and information theory.

More details of this work can be found on the International Conference on Machine Learning and Applications (ICMLA 2015).

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Carlos P. created project Solar Forecasting in Hawaii

Medium d6dcd9ad f0ab 4f37 a8f1 cab79daa8ff1

Solar Forecasting in Hawaii

Energy companies in Hawaii have started to use solar energy harvested in power plants as a more cost-effective alternative to provide energy to consumers. A problem with this renewable alternative is the dependence on weather, and consequent unpredictability of the next day solar irradiation.

In the University of Hawaii at Manoa ICS department together with Hawaiian Electric (HECO), I've investigated how to identify such patterns using probabilistic models and information theory.

More details of this work can be found on the International Conference on Machine Learning and Applications (ICMLA 2015).

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