Name of Quantlet: RO_Electricity_Forecasting
Published in: Quantlet
Description: Benchmarks time series forecasting models on Romania's national electricity consumption data, comparing traditional statistical approaches with modern neural and transformer-based architectures.
Keywords: time series forecasting, electricity consumption, Romania, energy demand prediction, neural models, SARIMA, N-BEATS, TimeGPT, Titans, benchmarking
Author: Cosmin Adrian Proșcanu, Miruna Elena Proșcanu, Daniel Traian Pele, Adrian Costea
Submitted: 2025-04-23 by Cosmin Adrian Proșcanu
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This is the repository of the paper Proșcanu, C. A., Proșcanu, M. E., Pele, D. T., & Costea, A. (2025). Watt's next? Benchmarking time series models on Romania's national electricity consumption.
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This is the repository of the paper Proșcanu, C. A., Proșcanu, M. E., Pele, D. T., & Costea, A. (2025). Watt's next? Benchmarking time series models on Romania's national electricity consumption.
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