# Electricity Losses in Focus: Detection and Reduction Strategies--State of the Art
## 4 Methods to Reduce Energy Losses
### Technical Energy Losses
The study's findings indicate that the methods employed are a satisfactory solution requiring fewer calculations and are, therefore, classified as both feasible and efficient. However, further analysis is necessary to address the challenges posed by power supply interruptions to consumers. The advent of technological advancements in a multitude of academic domains--including electrical engineering--has precipitated a proliferation of research endeavors. The objective of these studies is to improve power quality by reducing power losses. In [55], the authors put forth and examined a novel approach to curtail energy losses in radial systems encompassing distributed generation. The primary objective of the paper is to minimize losses and improve operational constraints by integrating chaotic maps into the FSS standard to improve efficiency and convergence rate, and to explore the potential of chaotic maps in this context. The results obtained from analyzing a sub-grid with 118 nodes demonstrate an enhancement in the percentage of losses when a generator is incorporated into the analyzed portion of the network. Furthermore, the introduction of an optimal number of such distributed generators contributes to a substantial decrease in technical power losses. An interdisciplinary perspective is delineated in [56], wherein [PERSON], [PERSON], and [PERSON]'s analysis examined the integration of ANNs as a means of mitigating energy losses within distribution systems. The proposed model aims to analyze distribution systems and propose a more optimal configuration. The proposed ANN has the capacity to map distribution areas and assess and suggest an appropriate system topology, thereby facilitating a reduction in losses, including various load curve variations. The intelligent model addressed in the paper contains a control strategy divided into two large groups: the first group of ANNs performs the estimation of an appropriate load level according to each analyzed zone, and the second one determines an appropriate category of that zone, starting from its load level. In conclusion, the ANN designed on the two considerations is analyzed, tested, and validated based on a training dataset of an electrical distribution network. The testing and validation of the proposed solution were realized through its implementation in different ways. The validation criterion of the method was determined by the possibility of its application in different configurations and typologies of networks for their reconfiguration. The ensuing hypotheses were formulated on the basis of the obtained results: the importance of supervised analysis of data sets, the implementation of the control strategy towards the distribution system, and the robustness against error. The primary challenge encountered during the implementation phase pertains to the training time required for the ANNs, which can be mitigated through data system smoothing techniques. Network stability under voltage sags and fluctuations is also a topic that falls under the category of technical energy losses. In this regard, [PERSON], [PERSON], [PERSON], [PERSON], and [PERSON] have proposed a methodology for enhancing stability in [57] through a comprehensive analysis of voltage aspects in a radial power system with distributed generation. The authors suggest appropriate sizing of distributed generation capacity to minimize voltage fluctuations and dips. In their research, the authors also considered the sensitivity of the existing grid configuration to ensure that the proposed new configuration improves the current scenario. Consequently, models were developed that incorporate constant impedance and constant current, with both scenarios being analyzed independently. A reduction in energy losses is imperative to enhance economic and technical stability, thereby ensuring the reliability of power systems.