A weather temperature methodology on the Italian electricity demand
2021 AEIT International Annual Conference, AEIT 2021
; 2021.
Article
in English
| Scopus | ID: covidwho-1662993
ABSTRACT
This paper presents a proposal methodology to study the temperature dependence of the Italian electricity demand. Indeed, weather temperature has a significant influence on the electricity consumption. From a Transmission System Operator (TSO) perspective, an accurate estimation of this effect is crucial to interpret and predict demand fluctuations. Several dispatching applications consider these phenomena, as for example adequacy analysis, demand forecasting tools, and real-time operational procedures. Based on the geographical features of Italy, it was possible to identify various sensitivity behaviors at regional scale. The purpose of this study is to develop a temperature sensitivity model to be applied on electricity demand profile with different time granularity (e.g., daily, hourly). A clustering analysis on the historical input data is performed. Furthermore, a thorough investigation to identify the optimal best-fitting method for this application is described. In order to test the methodology, some relevant business cases are simulated considering also extreme scenarios. Results on COVID-19 scenario is also described. Finally, an outlook on the planned future developments of the method is provided. © 2021 AEIT.
electricity consumption; pandemic COVID-19; temperature-demand sensitivity; Transmission System Operator; Temperature distribution; Accurate estimation; Demand forecasting; Demands fluctuation; Electricity demands; Electricity-consumption; Forecasting tools; Temperature dependence; Transmission system operators; Electric power utilization
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2021 AEIT International Annual Conference, AEIT 2021
Year:
2021
Document Type:
Article
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