Distribution system operators (DSOs) are installing increasing amounts of measurement equipment in the distribution networks. The measurements provide the DSOs insights in the challenges distributed energy resources bring to the network. The next step is to utilise the data generatedfrom the field measurements. This paper will introduce a practical implementation of a short-term load forecast for residential loads on medium-to-low voltage level. As this forecast is applied in a congestion management setting, the error over time is visualised, and the model is optimised for the moment at which the congestions are expected. The practical implementation of the forecasting algorithm is part of the Dutch demonstrator of the Horizon 2020 InterFle...
Short-term congestion forecasting is highly important for market participants in wholesale power mar...
Short-term load forecasting (STLF) plays a key role in the formulation of economic, reliable, and se...
Short-term forecasts of energy consumption are invaluable for operation of energy systems, including...
Distribution system operators (DSOs) are installing increasing amounts of measurement equipment in t...
Distribution system operators (DSOs) are installing increasing amounts of measurement equipment in t...
Load forecasting is an essential part of a power system both for planning and daily operation purpos...
The increased digitalisation and monitoring of the energy system opens up numerous opportunities to ...
Short term load forecasts will play a key role in the implementation of smart electricity grids. The...
Short term load forecasts will play a key role in the implementation of smart electricity grids. The...
Load forecasting is more important than ever to enable new monitor and control functionalities of di...
This paper reports on the developments and findings of the Distribution Short-Term Load Forecaster (...
Short-term congestion forecasting is highly important for market participants in wholesale power mar...
For decentralised load management, short-term forecasts of the load on small and medium-sized distri...
For decentralised load management, short-term forecasts of the load on small and medium-sized distri...
A method for short-term load forecasting which would help demand side management is presented. This ...
Short-term congestion forecasting is highly important for market participants in wholesale power mar...
Short-term load forecasting (STLF) plays a key role in the formulation of economic, reliable, and se...
Short-term forecasts of energy consumption are invaluable for operation of energy systems, including...
Distribution system operators (DSOs) are installing increasing amounts of measurement equipment in t...
Distribution system operators (DSOs) are installing increasing amounts of measurement equipment in t...
Load forecasting is an essential part of a power system both for planning and daily operation purpos...
The increased digitalisation and monitoring of the energy system opens up numerous opportunities to ...
Short term load forecasts will play a key role in the implementation of smart electricity grids. The...
Short term load forecasts will play a key role in the implementation of smart electricity grids. The...
Load forecasting is more important than ever to enable new monitor and control functionalities of di...
This paper reports on the developments and findings of the Distribution Short-Term Load Forecaster (...
Short-term congestion forecasting is highly important for market participants in wholesale power mar...
For decentralised load management, short-term forecasts of the load on small and medium-sized distri...
For decentralised load management, short-term forecasts of the load on small and medium-sized distri...
A method for short-term load forecasting which would help demand side management is presented. This ...
Short-term congestion forecasting is highly important for market participants in wholesale power mar...
Short-term load forecasting (STLF) plays a key role in the formulation of economic, reliable, and se...
Short-term forecasts of energy consumption are invaluable for operation of energy systems, including...