Electricity consumption forecasting in Italy using linear regression models

By V. Bianco, Oronzio Manca, Sergio Nardini. 2009

605 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/d680e0a15bbe30d506ff45e2b9856868e9e11381

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. Yao Dong
2. Jianzhou Wang
3. Ge Zhao
4. Yuanyuan Wang

In Renewable Energy, Sustainability and the Environment

1. Yao Dong
2. Jianzhou Wang
3. Ge Zhao
4. Yuanyuan Wang

Citations in the corpus

• Application of residual modification approach in seasonal ARIMA for electricity demand forecasting: A case study of China (2012, background): “Given this fact, a sound forecasting technique is essential for accurate investment planning of energy production, generation and distribution (Bianco et al., 2009).”
• Deep belief network based electricity load forecasting: An analysis of Macedonian case (2016, neutral): “[11].”