通过机器学习建模集成可再生能源:一个系统的文献审查
Talal Alazemi1, Mohamed Darwish1, Mohammed Radi2
1Brunel University London Kingston Lane Uxbridge, Middlesex, UB8 3PH, United Kingdom.
Heliyon
|February 26, 2024
概括
预测可再生能源 (RES) 对电网稳定性至关重要. 机器学习,特别是深度人工神经网络和合体方法,为预测可再生能源发电量提供了卓越的解决方案.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 环境科学 环境科学
背景情况:
- 可再生能源 (RES) 的整合,由于它们的随机性质,给电网稳定性带来了挑战.
- 传统的预测模型 (物理,统计) 在准确性和计算效率方面存在局限性.
- 机器学习 (ML) 为分析复杂的可再生能源数据提供了强大的数据驱动工具.
研究的目的:
- 对基于ML的方法进行系统的文献审查,以预测可再生能源的发电量.
- 确定最有效的ML技术来管理RES的不确定性.
- 讨论将可再生能源预测纳入电网管理和未来研究方向的整合.
主要方法:
- 对基于机器学习的可再生能源预测方法的系统文献综述.
- 分析深层人工神经网络 (例如,LSTM) 和整体策略.
- 与传统预测模型相比,ML性能的评估.
主要成果:
- 深层人工神经网络,特别是长期短期记忆 (LSTM) 网络,擅长模拟可再生能源发电量的自回归性质.
- 集成策略有效地处理大型,波动的可再生能源数据集.
- 基于机器学习的预测在准确性和效率方面优于传统方法.
结论:
- LSTM网络和集体方法非常适合准确预测可再生能源输出功率.
- 通过ML有效地管理RES不确定性对于电网集成至关重要.
- 未来的研究应该集中在将ML预测纳入运营电网决策中.
相关概念视频
02:16Light Acquisition
8.5K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.5K
01:14Mechanical Efficiency of Real Machines
690
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
However, in reality, no machine can be truly ideal, and all of them experience some...
690
01:25Multimachine Stability
153
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
153
01:46The Calvin Benson Cycle
4.5K
Ribulose 1,5- bisphosphate carboxylase/oxygenase (RuBisCo) is a critical enzyme that catalyzes carbon dioxide assimilation during photosynthesis. However, it is an inefficient enzyme, having an extremely slow catalytic rate. A typical enzyme can process about a thousand molecules per second; however, RuBisCo fixes only around three-carbon dioxides per second. Photosynthetic cells compensate for this slow rate by synthesizing very high amounts of RuBisCo, making it the most abundant single...
4.5K
01:12Conservation of Energy: Application
6.9K
When solving problems using the energy conservation law, the object (system) to be studied should first be identified. Often, in applications of energy conservation, we study more than one body at the same time. Second, identify all forces acting on the object and determine whether each force doing work is conservative. If a non-conservative force (e.g., friction) is doing work, then mechanical energy is not conserved. The system must then be analyzed with non-conservative work. Third, for...
6.9K
01:57Adaptations that Reduce Water Loss
25.6K
Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.
25.6K