Results 281 to 290 of about 204,882 (322)

Adjustable robust optimization with decision‐dependent uncertainty for power system problems: A review

Energy Conversion and Economics, EarlyView.
Abstract The increasing uncertainty caused by volatile renewable generation and random electricity demand has always been a critical challenge in power system operations. Robust optimization (RO) is a powerful tool for effectively addressing this uncertainty. As the interplay between uncertain factors and decision‐making becomes more prevalent, RO with
Tao Tan, Meng Yang, Rui Xie, Yuji Cao, Yue Chen   +4 more
wiley   +1 more source

Multi-Sensor Temporal Fusion Transformer for Stock Performance Prediction: An Adaptive Sharpe Ratio Approach. [PDF]

Sensors (Basel)
Yang J, Li P, Cui Y, Han X, Zhou M.
europepmc   +1 more source

Hedging irrigated maize crop yields using temperature derivatives in Malawi. [PDF]

Heliyon
Dennis Chirwa PB, Dzupire NC.
europepmc   +1 more source

Random forest machine learning algorithm based seasonal multi‐step ahead short‐term solar photovoltaic power output forecasting

IET Renewable Power Generation, EarlyView.
To maintain grid stability, the energy levels produced by sources within the network must be equal to the energy consumed by customers. In current times, achieving energy balance mainly involves regulating the electrical energy sources, as consumption is typically beyond the control of grid operators.
Sravankumar Jogunuri, Josh F.T, Albert Alexander Stonier, Geno Peter, Jayakumar Jayaraj, Jaganathan S, Jency Joseph J, Vivekananda Ganji   +7 more
wiley   +1 more source

A synthesis method for zero-sum mean-payoff asynchronous probabilistic games. [PDF]

Sci Rep
Zhao W, Liu W, Liu Z, Wang T.
europepmc   +1 more source

Technical indicator enhanced ultra‐short‐term wind power forecasting based on long short‐term memory network combined XGBoost algorithm

IET Renewable Power Generation, EarlyView.
An increasing penetration of renewable energy has brought unprecedented uncertainty to today's grid, and properly scheduled reserve is a key to accommodate the intermittency and volatility of renewable energy. In this manuscript, the authors propose a new method for ultra‐short‐term wind power forecasting based on the long short‐term memory network ...
Yingying Zheng, Shijie Guan, Kailei Guo, Yongning Zhao, Lin Ye   +4 more
wiley   +1 more source

Geopolitical turmoil and energy dynamics: Analyzing the impact on inflation in selected European economies. [PDF]

Heliyon
Marangoz C.
europepmc   +1 more source

Renewable energy hosting capacity assessment in distribution networks based on multi‐strategy improved whale optimization algorithm

IET Renewable Power Generation, EarlyView.
To effectively evaluate the renewable energy hosting capacity in distribution networks, this paper introduces a comprehensive hosting capacity assessment model considering various safety and stability constraints. Given the numerous non‐linear constraints inherent in the hosting capacity assessment model for distribution networks, a multi‐strategy ...
Chongwu Dong, Tao Yu, Zhenning Pan, Yufeng Wu, Ziyao Wang, Yipeng Wang, Keying Wang   +6 more
wiley   +1 more source

Can household energy efficiency dampen crude oil price volatility in the United States? [PDF]

PLoS One
Usman O, Ozkan O, Nwani C, Bekun FV, Alola AA.   +4 more
europepmc   +1 more source

Low‐carbon demand response program for power systems considering uncertainty based on the data‐driven distributionally robust chance constrained optimization

IET Renewable Power Generation, EarlyView.
This paper proposes a low‐carbon DR program for power systems to enhance both the environmental friendliness and uncertainty resilience of the system operation. The two‐sided distributionally robust chance‐constrained (TS‐DRCC) approach is adopted to enhance the system's uncertainty resilience and the ladder‐type carbon trading scheme is utilized to ...
Ruifeng Zhao, Zehao Song, Yinliang Xu, Jiangang Lu, Wenxin Guo, Haobin Li   +5 more
wiley   +1 more source