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Power demand forecasting through social network activity and artificial neural networks
Ana Luna
, Miguel Nunez-Del-Prado
,
Alvaro Talavera
, Erick Somocurcio Holguin
Department of Engineering
Universidad del Pacífico
Universidad del Pacífico Research Center
Research output
:
Contribution to conference
›
Paper
5
Scopus citations
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Keyphrases
Artificial Neural Network
100%
Social Network Activity
100%
Power Demand Forecasting
100%
Mean Absolute Percentage Error
50%
National Power
50%
Peruvian
25%
Error Value
25%
Accurate Method
25%
Cumulative Model
25%
Twitter Posts
25%
Direct Method
25%
Fast Method
25%
Order of Magnitude
25%
Tweets
25%
Power Demand
25%
Regression Model
25%
Social Activity
25%
Last Days
25%
Computer Science
Network Activity
100%
Neural Network
100%
Social Network
100%
Approximation (Algorithm)
33%
Social Activity
33%
Good Indicator
33%
Engineering
Demand Forecasting
100%
Artificial Neural Network
100%
Error Value
25%
Social Sciences
Neural Network
100%
Psychology
Neural Network
100%
Economics, Econometrics and Finance
Energy Demand
100%