Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast
Source abstract
Abstract
The use of data collectors in energy systems is growing more and more [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Energy Load and Power Forecasting · Stock Market Forecasting Methods · Market Dynamics and Volatility
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Affiliations
Computer Science Division, Universidad Pablo de Olavide, ES-41013 Seville, Spain
References (5)
Show source-provided references
1. Lara-Benítez, P., Carranza-García, M., Luna-Romera, J.M., and Riquelme, J.C. (2020). Temporal Convolutional Networks Applied to Energy-Related Time Series Forecasting. Appl. Sci., 10.10.20944/preprints202003.0096.v1 ↗
2. Divina, F., Torres Maldonado, J.F., García-Torres, M., Martínez-Álvarez, F., and Troncoso, A. (2020). Hybridizing Deep Learning and Neuroevolution: Application to the Spanish Short-Term Electric Energy Consumption Forecasting. Appl. Sci., 10.10.3390/app10165487 ↗
3. Nazeriye, M., Haeri, A., and Martínez-Álvarez, F. (2020). Analysis of the Impact of Residential Property and Equipment on Building Energy Efficiency and Consumption—A Data Mining Approach. Appl. Sci., 10.10.3390/app10103589 ↗
4. Eroshenko, S.A., Khalyasmaa, A.I., Snegirev, D.A., Dubailova, V.V., Romanov, A.M., and Butusov, D.N. (2020). The Impact of Data Filtration on the Accuracy of Multiple Time-Domain Forecasting for Photovoltaic Power Plants Generation. Appl. Sci., 10.10.3390/app10228265 ↗
5. Trull, Ó., García-Díaz, J.C., and Troncoso, A. (2020). Stability of Multiple Seasonal Holt-Winters Models Applied to Hourly Electricity Demand in Spain. Appl. Sci., 10.10.3390/app10072630 ↗