Renewable Energy and Energy Innovations: Examining Relationships Using Markov Switching Regression Model

Accelerating the development of new energy infrastructure in EU based on renewable sources is necessary for targeted reduction greenhouse gas emissions and increase production from sources. This article reviews current issues research innovations within European policy. The effectiveness generation resources adaptation may be limited to challenges ensuring flexibility pan-European system, as storage systems technologies respond demand much slower than energy. Therefore, study's primary purpose was explain by mathematical modelling determinism variation electricity EU27 due predictors net certain types 2017-2020. To identify effects deployment EU27, a regression model Markov switching three regimes chosen, consisting selected clean (hydro, geothermal, wind, solar). statsmodels v0.13.2 toolkit Python 3.10.5 used conduct this study. between total not constant depends mode production. That is, there an asymmetry relationship these parameters. results also show that when rate moderate, wind significant. Furthermore, negative link solar significant all regimes.