Seasonal climate forecasts for medium-term electricity demand forecasting

By M. Felice, A. Alessandri, F. Catalano. 2015

144 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/79186c116e0b51434d3e5ff4e6690f6c38904f3e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Ayse Hümeyra Bilge
2. E. Yukseltan
3. Ahmet D. Yucekaya

In Global and Planetary Change

1. Ayse Hümeyra Bilge
2. E. Yukseltan
3. Ahmet D. Yucekaya

Citations in the corpus

• Hourly electricity demand forecasting using Fourier analysis with feedback (2020, background): “[7,8] the researchers use statistical modelling to analyse the influence of temperature on load forecasting in Italy, both at the national and regional level, using historical load data.”
• A novel energy consumption forecasting model combining an optimized DGM (1, 1) model with interval grey numbers (2019, background): “Felice et al. (2015) presented an assessment of the use of seasonal climate forecasts of temperature for medium-term electricity demand prediction, by using both deterministic and probabilistic forecasting approaches.”