TY  - GEN 
AU  - Criado Ramón, David
AU  - Baca Ruiz, Luis Gonzaga
AU  - Pegalajar Jiménez, María Del Carmen
PY  - 2024
UR  - https://hdl.handle.net/10481/88564
AB  - In this paper, we present a new fuzzy symbolization technique for energy load forecasting with neural networks, FPLS-Sym. Symbolization techniques transform a numerical time series into a smaller string of symbols, providing a high-level...
LA  - eng
PB  - Springer Nature
KW  - Time series forecasting
KW  - Fuzzy logic
KW  - Symbolic representation
KW  - Energy demand
KW  - Artificial neural networks
TI  - An Application of Fuzzy Symbolic Time-Series for Energy Demand Forecasting
DO  - 10.1007/s40815-023-01629-4
ER  -