Knowledge Mapping in Electricity Demand Forecasting: A Scientometric Insight
نویسندگان
چکیده
Electricity demand forecasting plays a fundamental role in the operation and planning procedures of power systems, publications related to electricity have attracted more attention past few years. To better understanding knowledge structure field forecasting, we applied scientometric methods analyze current state emerging trends based on 831 from Web Science Core Collection during 20 years (1999–2018). Employing statistical description analysis, cooperative network keyword co-occurrence co-citation cluster trend analysis techniques, this study gives comprehensive overview most critical countries, institutions, journals, authors, field, networks relationships, research hotspots, trends. The results can provide meaningful guidance helpful insights for researchers enhance crucial research, trends, new developments forecasting.
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ژورنال
عنوان ژورنال: Frontiers in Energy Research
سال: 2021
ISSN: ['2296-598X']
DOI: https://doi.org/10.3389/fenrg.2021.771433