monitored by national and supranational entities. This study evaluates the performance of a broad set of forecasting models and …

Analyzing the impact of electricity price changes on electricity demand helps in energy supply planning. This study … estimated the electricity demand functions of households and industries, as well as the impact of electricity price hikes on … electricity demand following natural disasters. We found that structural changes occurred in various regions' electricity demand …

Forecasting plays an essential role in energy economics. With new challenges and use cases in the energy system … learning in the context of energy economics and presenting an exemplary application to electricity load data. For this, we …

We employ hourly electricity load data for Switzerland as a real time indicator of the economic effects of the lockdown … following the spread of SARS-CoV-2. Our findings reveal that following the drastic lockdown, overall electricity use decreased … electricity consumption of 6.3 per cent. Assuming industry, services, transport and agriculture account for 67 per cent of …

We employ hourly electricity load data for Switzerland as a real time indicator of the economic effects of the lockdown … following the spread of SARS-CoV-2. Our findings reveal that following the drastic lockdown, overall electricity use decreased by … electricity consumption of 6.3 per cent. Assuming industry, services, transport and agriculture account for 67 per cent of …

combustibles for electricity, reliable methods for modelling electricity consumption can contribute to a more rational employment … Italy, France and Greece on hourly data of aggregate electricity consumption. The empirical results obtained with the PC … a much simpler and attractive alternative to modelling electricity consumption since it is extremely easy to compute, it …

undertaken to assess the impact of power industry disruptors on the near-term prospect of the electricity demand in the most … electricity - the macro-economic risks, the global risks, and the policy risks; secondly the risks internal to the electricity …

combustibles for electricity, reliable methods for modelling electricity consumption can contribute to a more rational employment … Italy, France and Greece on hourly data of aggregate electricity consumption. The empirical results obtained with the PC … a much simpler and attractive alternative to modelling electricity consumption since it is extremely easy to compute, it …

of the SR component of demand to temperature.We decompose the effect of temperature on the SR component of electricity … temperature effect can be identified.We apply our model to Korean commercial electricity demand, finding that non …

We present a model for hourly electricity load forecasting based on stochastically time-varying processes that are … national French hourly electricity load. The analysis focuses on two hours, 9 AM and 12 AM, but forecasting results are … implementation of our forecasting procedure relies on the multivariate linear Gaussian state space framework and is applied to …