Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast
Open Access
- 30 January 2021
- journal article
- editorial
- Published by MDPI AG in Applied Sciences
- Vol. 11 (3), 1261
- https://doi.org/10.3390/app11031261
Abstract
The use of data collectors in energy systems is growing more and moreKeywords
This publication has 5 references indexed in Scilit:
- The Impact of Data Filtration on the Accuracy of Multiple Time-Domain Forecasting for Photovoltaic Power Plants GenerationApplied Sciences, 2020
- Hybridizing Deep Learning and Neuroevolution: Application to the Spanish Short-Term Electric Energy Consumption ForecastingApplied Sciences, 2020
- Analysis of the Impact of Residential Property and Equipment on Building Energy Efficiency and Consumption—A Data Mining ApproachApplied Sciences, 2020
- Stability of Multiple Seasonal Holt-Winters Models Applied to Hourly Electricity Demand in SpainApplied Sciences, 2020
- Temporal Convolutional Networks Applied to Energy-Related Time Series ForecastingApplied Sciences, 2020