Energy forecasting tools and services
The increasing complexity of the power grid and the continuous integration of volatile
renewable energy systems on all aspects of it have made more precise forecasts of both …
renewable energy systems on all aspects of it have made more precise forecasts of both …
Deep Learning for Energy Time-Series Analysis and Forecasting
Energy time-series analysis describes the process of analyzing past energy observations
and possibly external factors so as to predict the future. Different tasks are involved in the …
and possibly external factors so as to predict the future. Different tasks are involved in the …
Sequential pattern mining—A study to understand daily activity patterns for load forecasting enhancement
Load forecasting at appliance-level or house-level is a key to develop efficient Demand Side
Management programs. Lots of recent research work have pointed out that load curves at …
Management programs. Lots of recent research work have pointed out that load curves at …
A microservice-based framework for exploring data selection in cross-building knowledge transfer
Supervised deep learning has achieved remarkable success in various applications.
Successful machine learning application however depends on the availability of sufficiently …
Successful machine learning application however depends on the availability of sufficiently …
On the suitability of Data Selection for Cross-building Knowledge Transfer
Supervised deep learning has achieved remarkable success in various applications. Such
advances were mainly attributed to the rise of computational powers and the amounts of …
advances were mainly attributed to the rise of computational powers and the amounts of …
[PDF][PDF] New Data-Driven Probabilistic Forecasting Methods with Applications in Energy Systems
JÁ González Ordiano - core.ac.uk
The desire of making the existing energy systems more sustainable, calls for an increase
installation of renewable power systems. Nevertheless, the fact that some renewable power …
installation of renewable power systems. Nevertheless, the fact that some renewable power …
[PDF][PDF] Distributed Market-Grid Coupling Using Model Predictive Control
Y Ding - 2016 - core.ac.uk
Real-time monitoring of electricity grids' power flow, which reflects the physical reality of the
power system, plays a crucial role in the power market, since the real-time market behavior …
power system, plays a crucial role in the power market, since the real-time market behavior …