A High-Frequency Data-Driven Machine Learning Approach for Demand Forecasting in Smart Cities.
Juan Carlos PreciadoAlvaro E. PrietoRafael BenítezRoberto Rodríguez-EcheverríaJosé María ConejeroPublished in: Sci. Program. (2019)
Keyphrases
- high frequency
- data driven
- demand forecasting
- machine learning
- smart cities
- low frequency
- smart city
- historical data
- wavelet transform
- supply chain
- pattern recognition
- high resolution
- service integration
- machine learning algorithms
- data mining
- subband
- learning algorithm
- world wide
- discrete wavelet transform
- neural network
- wavelet coefficients
- feature selection
- data analysis
- support vector machine
- decision making