Knowledge Mapping in Electricity Demand Forecasting: A Scientometric Insight

TL;DR

This scientometric study analyzes 20 years of publications on electricity demand forecasting, identifying key contributors, research hotspots, and emerging trends to guide future research efforts.

Contribution

It provides a comprehensive scientometric analysis of electricity demand forecasting literature, highlighting influential entities and emerging research directions.

Findings

Identifies leading countries, institutions, and authors in the field.

Maps research hotspots and collaboration networks.

Detects emerging trends and future research directions.

Abstract

Forecasting electricity demand plays a fundamental role in the operation and planning procedures of power systems and the publications about electricity demand forecasting increasing year by year. In this paper, we use Scientometric analysis to analyze the current state and the emerging trends in the field of electricity demand forecasting form 831 publications of web of science core collection during 20 years: 1999-2018. Employing statistical description, cooperative network analysis, keyword co-occurrence analysis, co-citation analysis, cluster analysis, and emerging trend analysis techniques, this article gives the most critical countries, institutions, journals, authors and publications in this field, cooperative networks relationships, research hotspots and emerging trends. The results of this article can provide meaningful guidance and some insights for researchers to find out crucial research, emerging trends and new developments in this area.