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 …

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 …

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 …

Supervised deep learning has achieved remarkable success in various applications.
Successful machine learning application however depends on the availability of sufficiently …

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 …

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 …

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 …

論文抄録 本稿では, 家庭内に簡易センサを設置して家庭内の行動をセンシングする技術において,
既存の家庭で取得した訓練データセットを新たな家庭に適用する際に, 家庭間の差異を考慮して …