Taking the value of x^x at 0 to be 1 and integrating a series term by term, show that 1 相关知识点: 试题来源: 解析 We have to integrate the function x^x by integrating series. Writing x^x=(e^(ln x))^x=e^(xln x) and using the Maclaurin series for e^x , we have x^x=...
Given this dearth and the new drivers for additional simulation capability, an existing power system simulation and planning platform called PLEXOS was augmented to simulate five types of series FACTS devices. The capability was then demonstrated by using the platform to plan the deployment of series...
Long-term temperature change and variability are expected to have significant impacts on future electric capacity and investments. This study improves upon past studies by accounting for hourly and monthly dynamics of electricity use, long-term socioecon
This result may be checked by substituting now (37) into (36), grouping equal powers of log(z) and reordering sums. One obtains in this way the familiar asymptotic expansion of the Whittaker function in the sequence {z−n}. 4 Corollaries of the term by term integration method As we ...
Many uncertain factors to the planning and distribution of the power grid have been brought by connecting to the distributed power grid and increasing active loads. To obtain more accurate and comprehensive information of power load forecasting value, a short-term power load-interval multi-step forec...
The energy transition will require a rapid deployment of renewable energy (RE) and electric vehicles (EVs) where other transit modes are unavailable. EV batteries could complement RE generation by providing short-term grid services. However, estimating t
A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and l... Accurate wind power prediction can alleviate the negative influence on power system caused by the integration of wind farms into grid. In this...
The model is an ingenious integration of data preprocessing technology, feature selection method, prediction model and data post-processing technology. Thereinto, EEMD is exploited to convert intricate and irregular wind power time series into a collection of subseries relatively easy to analyze; LASSO...
摘要: Although clean and sustainable wind energy has long been recognized as one of the most attractive electric power sources, generation of wind power is still much easier than its integration into libera关键词: Renewable energy Resampling Power grid Predictive density Sustainability Nonparametrics DOI...
Aiming to address the problem of strong randomness and strong temporal correlations in wind power prediction (WPP), a new framework for WPP based on RF-WOA-VMD and BiGRU optimized by an attention mechanism is proposed. Firstly, the random forest algorithm (RF) is adopted to screen the ...