A Strategy for Short-Term Load Forecasting by Support Vector Regression Machines

By Ervin Ceperic, Vladimir Ceperic, Adrijan Baric. IEEE Transactions on Power Systems, 2013

437 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/09a8b75a2e42adec909bf019ad4c7813e580e41a

How researchers see this paper

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

In Artificial Intelligence

1. Ziyu He
2. Kunlong Chen
3. Jun Hu
4. Kunjin Chen
5. Jinliang He
6. Qin Wang

In Electrical and Electronic Engineering

1. Ziyu He
2. Kunlong Chen
3. Jun Hu
4. Kunjin Chen
5. Jinliang He
6. Qin Wang

In Management Science and Operations Research

1. Ziyu He
2. Kunlong Chen
3. Jun Hu
4. Kunjin Chen
5. Jinliang He
6. Qin Wang

Citations in the corpus

• Short-Term Load Forecasting With Deep Residual Networks (2018, methodology): “regression (SVR) [1], [4], autoregressive models [5], fuzzylogic approach [6], etc.”