To guide building system retrofits for reducing building's operational carbon footprint, a
micro-genetic optimization algorithm has been applied. The algorithm is integrated into the …

A challenge in the integration of renewable and alternative energy systems for buildings is
the determination of the renewable energy ratio, which involves the selection and sizing of …

Wind forecasting is a time series problem, can aide in estimating the annual energy
production of potential wind farms. Seasonality and trend are the two significant components …

风电具有的波动性, 间歇性等特点对并网造成一定程度的影响, 提前进行风电功率预测是解决
上述问题的一个重要途径. 但传感器传输, 网络通信等不可控因素的存在, 导致采集到用于风电 …

The generator control region in wind turbines is generally hard to represent mathematically.
This paper evaluates the accuracy of wind turbine fits for such a region, namely the …

This article presents the Recurrent Neural Network (RNN) and its Attention mechanism to
develop forecasting models for renewable energy applications. In this study, wind speed …

Wind speed forecasting, a time series problem, plays a vital role in estimating annual wind
energy production in wind farms. Calculation of wind energy helps to maintain stability …

Wind farm power curves are particularly relevant in different applications. A better
understanding of wind farm power curves under different atmospheric regimes is sought. In …

Recent wind speed forecasting works have applied various time series decomposition
methods to segregate a complex wind time series into linear and nonlinear components …

The wind resources have been estimated by using physical models, statistical models, and
artificial intelligence models. Wind power calculation helps us measure the annual energy …