Remote Locations Research Articles

Valuing place in doctors' decisions to work in remote and rural locations

Recruitment and retention of medical practitioners is a challenging contemporary issue for rural and remote areas. In this paper, we explore the importance of what it is that doctors value in rural and remote places from their own personal, organisational, social and spatial lives. We do this by drawing on original research from Scotland that explored doctors' decisions on choosing, or not, to work in remote and rural locations. Three themes are explored: moving and staying, using place to think holistically about places beyond the language of work that recruitment and retention implies; how doctors' professional values and their capacity to enact those values change with time; and how policy landscapes interact and shape rural and remote locations as valued places for doctors to live and work. We end the paper by reiterating the World Health Organization findings that a whole-of-society approach is required to support rural and remote communities to flourish, thus, encouraging doctors and their families to value such places and, ultimately, move and stay.

Monitoring solutions for remote locations: A data gathering approach for remote nature-based solution sites

Nature-based solutions have gained popularity as an approach to tackling hydro-meteorological hazards (HMHs) in both urban and rural settings. Despite this popularity, challenges persist regarding the evidence base for their effectiveness and data scarcity at the feature or site scale. Flood modelling is a common approach to quantifying the effectiveness of NbS; however, the accuracy of these models heavily depends on the accuracy of the DEM, land cover, and hydraulic/hydrological data utilised. Remote and rural settings often face data scarcity due to the challenging nature of data collection, and insufficient funding for monitoring. Additionally, NbS features vary in size and scale, with many being small (<1 m in width), posing challenges for accurate representation in national LiDAR datasets. Technological advancements in remote sensing technologies, such as unmanned aerial vehicles, handheld LiDAR, and GPS-GNSS, offer opportunities to gather high-resolution, high-accuracy data in these challenging locations. This article proposes a methodological framework for collecting elevation data at remote NbS sites that can tackle areas affected by both sparse and dense vegetation cover. This approach proves valuable in both pre-NbS implementation, through facilitating NbS opportunity and environmental risk identification, and post-NbS implementation, through aiding in geo-spatial feature location, improving existing DEM data for flood modelling, and monitoring temporal changes.

Comparison of surface-wave techniques to estimate S- and P-wave velocity models from active seismic data

Abstract. The acquisition of seismic exploration data in remote locations presents several logistical and economic criticalities. The irregular distribution of sources and/or receivers facilitates seismic acquisition operations in these areas. A convenient approach is to deploy nodal receivers on a regular grid and to use sources only in accessible locations, creating an irregular source–receiver layout. It is essential to evaluate, adapt, and verify processing workflows, specifically for near-surface velocity model estimation using surface-wave analysis, when working with these types of datasets. In this study, we applied three surface-wave techniques (i.e., wavelength–depth (W/D) method, laterally constrained inversion (LCI), and surface-wave tomography (SWT)) to a large-scale 3D dataset obtained from a hard-rock site using the irregular source–receiver acquisition method. The methods were fine-tuned for the data obtained from hard-rock sites, which typically exhibit a low signal-to-noise ratio. The wavelength–depth method is a data transformation method that is based on a relationship between skin depth and surface-wave wavelength and provides both S- and P-wave velocity (Vs and Vp) models. We used Poisson's ratios estimated through the wavelength–depth method to constrain the laterally constrained inversion and surface-wave tomography and to retrieve both Vs and Vp also from these methods. The pseudo-3D Vs and Vp models were obtained down to 140 m depth over an area of approximately 900 × 1500 m2. The estimated models from the methods matched the geological information available for the site. A difference of less than 6 % was observed between the estimated Vs models from the three methods, whereas this value was 7.1 % for the retrieved Vp models. The methods were critically compared in terms of resolution and efficiency, which provides valuable insights into the potential of surface-wave analysis for estimating near-surface models at hard-rock sites.

Digital twin framework for smart greenhouse management using next-gen mobile networks and machine learning

Due to the increase in world population, arable land has been reduced. Consequently, the concept of urban greenhouses is on the rise. Smart greenhouses need to monitor physical parameters for the healthy growth of plants from remote locations. A digital twin is a representation of physical assets in the digital world, and this emerging technology has opened up opportunities for efficient system development for Industry 4.0. The digital twin receives real-time operational data to monitor the asset in the digital domain. It performs real-time processing, data analysis, and machine learning to predict optimized decisions. In the era of next-generation mobile networks, IoT devices can communicate and perform their remote operations in a timely manner. In smart greenhouse technology, the digital twin could be a revolutionary substitute for real-time remote monitoring and process management. However, there has been limited work on digital twin-driven smart greenhouse technology. In this paper, a process management framework is developed that can be interpreted as a machine learning and cloud-based data-driven digital twin for smart greenhouses. The proposed framework consists of three layers: the physical, fog, and cloud layers. The physical greenhouse measurements are monitored using a highly immersive cloud-based, real-time 3D environment. We present an example architecture using commercial cloud and open-source tools to verify the proof of concept. Additionally, different ML techniques are utilized to predict the operational requirements for smart greenhouses.

HOEEACR: Hybrid Optimized Energy-Efficient Adaptive Clustered Routing for WSN

Wireless Sensor Networks have been used for sensing and gathering data about an environment from a remote location for many years in a variety of engineering applications. In WSN, nodes must overcome energy consumption to function efficiently. To resolve these issues and extend the usefulness of the network, clustering and routing algorithms are promising. One of the main issues with WSNs is that they lack restricted energy sources. To overcome this issue, a Hybrid Optimized Energy-Efficient Adaptive Clustered Routing approach (HOEEACR) has been proposed for WSNs. This paper presents the Genetic Bee Colony (GBC) Algorithm for Cluster Head Selection by considering distances to neighbors, residual energy, node degrees, and node centralities. Furthermore, an optimal routing path for the cluster heads is found by utilizing the Aquila with African Vulture Optimization (AAVO) algorithm. The AAVO optimizes network performance using residual energy, node degree, and distance. The proposed HOEEACR method has been extensively tested to ensure network lifetime and energy efficiency. According to experimental results, the proposed HOEEACR method consistently outperforms existing techniques on a variety of performance metrics.

Autonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration Measurement.

This paper presents the design, implementation, and validation of an on-blade sensor system for remote vibration measurement for low-capacity wind turbines. The autonomous sensor system was deployed on three wind turbines, with one of them operating in harsh weather conditions in the far south of Chile. The system recorded the acceleration response of the blades in the flapwise and edgewise directions, data that could be used for extracting the dynamic characteristics of the blades, information useful for damage diagnosis and prognosis. The proposed sensor system demonstrated reliable data acquisition and transmission from wind turbines in remote locations, proving the ability to create a fully autonomous system capable of recording data for monitoring and evaluating the state of health of wind turbine blades for extended periods without human intervention. The data collected by the sensor system presented in this study can serve as a foundation for developing vibration-based strategies for real-time structural health monitoring.

Environmental regulation and land resource allocation in China: Empirical evidence from micro-level land transaction data

Land resource allocation is closely related to economic activities, which can be affected by environmental regulation. Exploiting the variation in regulation intensity coming from the new Environmental Protection Law (EPL) across time, regions, and industries, we construct a difference-in-difference-in-differences (DDD) model to investigate the impact of environmental regulation on land resource allocation in China. We find that when faced with stringent environmental regulation, local governments are inclined to reduce land supply for polluting industries, which is robust using alternative specifications. Besides, local governments raise the price and the average size of land parcels sold to polluting firms, along with remote land locations and low land quality. Further evidence indicates that local officials, with fewer promotion incentives, tend to reduce land supply for polluting industries substantially, whereas they are more likely to increase land supply for polluting industries under increased economic growth (fiscal) pressure. This study reveals that environmental regulation can direct local land resource allocation towards a green path. Local governments can employ land supply tools to implement environmental governance.

Continuum of somatosensory profiles in breast cancer survivors with and without pain, compared to healthy controls and patients with fibromyalgia.

The prevalence of persistent pain among breast cancer survivors (BCS) is high, and it is unclear what distinguishes those with persistent pain from those without. Research suggests that differences in somatosensory function evaluated by quantitative sensory testing (QST) may be responsible. This study aimed to describe somatosensory profiles in terms of hyper- and hypoesthesia in BCS with and without persistent pain using reference data from healthy controls. Second, QST parameters of BCS with and without pain were compared with those of healthy controls (i.e., a negative control group) and patients with fibromyalgia (i.e., a positive control group). Participants (n = 128) were divided into four equal groups: healthy controls, BCS with persistent pain, BCS without persistent pain, and patients with fibromyalgia. Nine QST parameters were evaluated at the trunk and at a remote location. Somatosensory profiles were determined by Z-score transformation of QST data using normative data from healthy controls. At the trunk, compared to healthy controls, BCS with persistent pain exhibited sensory aberrations across five out of seven QST parameters: pressure pain threshold, mechanical detection, and thermal thresholds. Pain-free BCS showed similar sensory aberrations across the four QST parameters compared to healthy controls: mechanical detection and thermal thresholds. Temporal summation and conditioned pain modulation were not significantly different between groups. BCS with persistent pain exert aberrations in peripheral processing of nociceptive signals, heightened facilitation of nociceptive signals, and higher psychosocial burden when compared to pain-free BCS, healthy controls, and patients with fibromyalgia. This study investigates the somatosensory function of breast cancer survivors with and without persistent pain using quantitative sensory testing and two control group (i.e., patients with fibromyalgia and healthy controls). Our results indicate somatosensory aberrations within the peripheral, but not central pathways in breast cancer survivors with persistent pain. Our findings contribute to a better understanding of the somatosensory mechanisms underlying persistent pain, which may inform future interventions to prevent the development of persistent pain, and improve treatment modalities.

Low-Cost Antibacterial Ceramic Water Filters for Decentralized Water Treatment: Advances and Practical Applications.

Access to clean water remains challenging for people living in underdeveloped regions, rural areas, and remote locations. In the absence of centralized water treatment systems, point-of-use (POU) solutions are necessary. Ceramic water filters (CWFs) have emerged as a practical and affordable option for decentralized water treatment. This review focuses on recent advances in antibacterial CWFs, including preparation methods, filtration performance, and applications. The review highlights the significance of preparation techniques, material choices, and additives in determining CWF properties and performance. Despite virus and chemical contaminant removal limitations, ongoing research on nanofillers and antibacterial additives shows promise for enhancing the CWF performance. The cost-effectiveness, ease of production, and low operational requirements of CWF make it a viable solution for decentralized drinking water systems, particularly in resource-limited areas. Studies have demonstrated the efficacy of CWFs in reducing water contaminants, but proper maintenance and user training are crucial to optimal performance.

An open-source method for producing reliable water temperature maps for ecological applications using non-radiometric sensors

The number of thermal sensors mounted on Unmanned Aerial Vehicles (UAVs) has increased considerably in recent years, with several of those currently available on the market being very attractive due to their low cost and ease of use. UAV platforms coupled with non-radiometric thermal sensors tend to be least expensive, but few studies have evaluated the reliability of data they produce or developed workflows to improve data accuracy. Here we present a complete method for obtaining accurate and precise water temperature data from non-radiometric sensors, including bias correction, calibration, image stitching and wetted area extraction. We illustrate the utility of the method through its application to the assessment of thermal conditions in two tropical river reaches. The whole procedure is implemented in the R language, and we provide a tutorial and customizable functions. Validation tests indicate that our method produces water temperature estimates that are comparable to those from more expensive sensors (mean absolute error <0.5 °C) and so can be used to answer ecological questions with great confidence. The method dramatically increases the accessibility of thermal imaging in ecology by providing accurate data that is cost-effective and not computationally intensive, and for calibration and validation relies on only small and lightweight equipment that can transported and used in remote locations.

Brackish groundwater desalination by constant current membrane capacitive deionization (MCDI): Results of a long-term field trial in Central Australia

A long-term field trial of membrane capacitive deionization (MCDI) was conducted in a remote community in the Northern Territory of Australia, with the aim of producing safe palatable drinking water from groundwater that contains high concentrations of salt and hardness ions and other contaminants. This trial lasted for 1.5 years, which, to our knowledge, is one of the longest reported studies of pilot-scale MCDI field trials. The 8-module MCDI pilot unit reduced salt concentration to below the Australian Drinking Water Guideline value of 600 mg/L total dissolved solids (TDS) concentration with a relatively high water recovery of 71.6 ± 8.7 %. During continuous constant current operation and electrode discharging at near zero volts, a rapid performance deterioration occurred that was primarily attributed to insufficient desorption of multivalent ions from the porous carbon electrodes. Performance could be temporarily recovered using chemical cleaning and modified operating procedures however these approaches could not fundamentally resolve the issue of insufficient electrode performance regeneration. Constant current discharging of the electrodes to a negative cell cut-off voltage was hence employed to enhance the stability and overall performance of the MCDI unit during the continuous operation. An increase in selectivity of monovalent ions over divalent ions was also attained by implementing negative voltage discharging. The energy consumption of an MCDI system with a capacity of 1000 m3/day was projected to be 0.40∼0.53 kWh/m3, which is comparable to the energy consumption of electrodialysis reversal (EDR) and brackish water reverse osmosis (BWRO) systems of the same capacity. The relatively low maintenance requirements of the MCDI system rendered it the most cost-efficient water treatment technology for deployment in remote locations. The LCOW of an MCDI system with a capacity of 1000 m3/day was projected to be AU$1.059/m3 and AU$1.146/m3 under two operational modes, respectively. Further investigation of particular water-energy trade-offs amongst MCDI performance metrics is required to facilitate broader application of this promising water treatment technology.

Perceived Challenges to Tribally Led Shellfish Toxin Testing in Southeast Alaska: Findings From Key Informant Interviews

AbstractShellfish harvesting is central to coastal Alaska Native ways of life, and tribes in Southeast Alaska are committed to preserving sustainable and safe access to subsistence foods. However, consumption of non‐commercially harvested shellfish puts Alaska Native communities at elevated risk of exposure to shellfish toxins. To address a lack of state or federal toxin testing for subsistence and recreational harvesting, tribes across Southeast Alaska have formed their own toxin testing and ocean monitoring program. In this study, we interviewed environmental managers responsible for tribes' testing and others with shellfish toxin expertise to report on perceptions of barriers to tribally led testing in Southeast Alaska. Tribal staff identified 40 prospective key informants to interview, including all environmental managers responsible for shellfish toxin testing at subsistence sites in Southeast Alaska. All 40 individuals were invited to participate in an interview and 27 individuals were interviewed. The most frequently discussed barriers to shellfish toxin testing in Southeast Alaska relate to logistical and staffing difficulties associated with communities' remote locations, inconsistent and inadequate funding and funding structures that increase staff burdens, risk communication challenges related to conveying exposure risks while supporting subsistence harvesting, and implications of climate change‐related shifts in toxin exposures for risk perception and risk communication. Participants stressed the social origins of perceived barriers. Disinvestment may create and sustain barriers and be most severely felt in Native communities and remote places. Climate change impacts may interact with social and cultural factors to further complicate risk management.

Perceived Access to Health Care of Indigenous Peoples in Canada with Rheumatoid Arthritis and their First-Degree Relatives.

There are complex and interrelated factors that lead to inequitable healthcare delivery in Canada. Many of the factors that underlie these inequities for Canada's geographically dispersed Indigenous Peoples remain underexamined. A cohort of 831 First Nations (FN) individuals from urban and remote communities were recruited into a longitudinal study of rheumatoid arthritis (RA) risk from 2005-2017. Data from each participant's initial enrollment visit was assessed using a survey that captured concerns with health care access. We found that remote participants with RA reported poor access compared to remote First-Degree Relatives (FDR, p<0.001), this difference was not observed for urban RA participants. We observed substantial differences based on sex; Females perceived access to care to be more difficult than males in both urban and remote cohorts (p<0.001). We also observed that male participants with RA reported poor access to care compared to male FDR. Importantly, access to care in remote communities appeared to improve over the duration of the study (p=0.01). In a logistic regression analysis, female sex, remote location, and older age were independent predictors of poor access to care. Predictors of poor access in participants with RA were also female sex, remote location and older age. FN peoples living in remote communities, particularly those with an established RA diagnosis, report more problems accessing healthcare. Sex-based inequities exist, with FN females reporting greater difficulties in accessing appropriate healthcare, irrespective of RA diagnosis. Addressing these sex-based inequities should be a high priority for improving healthcare delivery.

Hearty Mart: Democratizing Corporate Entrepreneurship

Nadeem Jafri (Jafri), the founder of Hearty Mart Enterprise Private Limited (HMEPL), was based in Juhapura, Ahmedabad India. HMEPL catered to Hotel, Restaurant, and Café (HoReCa) segment. In 2017, Jafri started practicing corporate entrepreneurship at HMEPL with a dedicated team and later democratized the same for all employees of HMEPL. In the last quarter of 2022, HMEPL acquired four businesses and exercised organization restructuring which led to seven business entities with diverse backgrounds, were based in remote locations and had resource constraints when compared with HMEPL. Jafri wondered about a mechanism to successfully implement the innovation and entrepreneurship culture in the newly restructured entity HMEPL and across other seven businesses. The case provides an opportunity for students to step into the shoes of Jafri and plan a way to implement entrepreneurial and innovation culture in the newly restructured HMEPL and across other seven businesses. In doing so, students should take into consideration the data regarding the existing processes and teams at HMEPL that helped it to innovate, and make assumptions to analyze the feasibility of implementing entrepreneurial and innovation culture in newly restructured HMEPL and across seven other businesses. Nadeem Jafri (Jafri), the founder of Hearty Mart Enterprise Private Limited (HMEPL), was sitting in his Juhapura office in Ahmedabad on 18th July 2023 and reflecting on the integration of new business ventures within HMEPL. Jafri started HMEPL in Ahmedabad, India, and catered to Hotel, Restaurant, and Café (HoReCa) segment. In 2017, Jafri started practicing corporate entrepreneurship in HMEPL with the leadership team and later democratized the same for all the employees of HMEPL. In the last quarter of 2022, HMEPL acquired four businesses and post the acquisition, went through organizational restructuring leading to seven business units operating under HMEPL. Jafri was wondering about the mechanism to implement the innovation and corporate entrepreneurship culture in the newly restructured HMEPL and across the seven business units which had diverse businesses. Many questions remained unanswered during the early phase of implementing innovation and entrepreneurship culture in the newly restructured HMEPL and across the seven business units. He grappled with questions like, ‘do we need to implement corporate entrepreneurship in all the businesses or do a pilot in one of the business units,’ ‘are all the business units ready as each one of them is based in a remote location and is also facing resource constraints,’ and ‘will the employees agree?’ Despite such skepticism, Jafri had to share the way forward about the idea of implementing the innovation and corporate entrepreneurship culture in the next leadership meeting on the coming weekend. The business of HMEPL had gained momentum and had crossed pre-COVID levels by early June 2023. Jafri had to ensure that he made the right choices which ensured continued growth for HMEPL.

A portable Raspberry Pi-based camera set-up to record behaviours of frogs and other small animals under artificial or natural shelters in remote locations.

We describe a Raspberry Pi-based camera system that is portable, robust and weatherproof, with a close-up focus (2.5 cm). We show that this camera system can be used in remote locations with high rainfall and humidity. The camera has an Infrared LED light to film in dark places and can continuously record up to 21 days (504 h). We also describe how to make concrete artificial shelters to mount the camera in. One of the great strengths of this shelter/camera set-up is that the animals choose to take up residence and can then be filmed for extended periods with no disturbance. Furthermore, we give examples of how shelters and cameras could be used to film a range of behaviours in not only many small cryptic amphibian species but also other small vertebrates and invertebrates globally.

Internet-based Control Experiments for Simultaneous Stabilization of Inverted Pendulums at Two Remote Locations

Internet-based Control Experiments for Simultaneous Stabilization of Inverted Pendulums at Two Remote Locations

Divergent responses of pelagic and benthic fish body-size structure to remoteness and protection from humans.

Animal body-size variation influences multiple processes in marine ecosystems, but habitat heterogeneity has prevented a comprehensive assessment of size across pelagic (midwater) and benthic (seabed) systems along anthropic gradients. In this work, we derive fish size indicators from 17,411 stereo baited-video deployments to test for differences between pelagic and benthic responses to remoteness from human pressures and effectiveness of marine protected areas (MPAs). From records of 823,849 individual fish, we report divergent responses between systems, with pelagic size structure more profoundly eroded near human markets than benthic size structure, signifying greater vulnerability of pelagic systems to human pressure. Effective protection of benthic size structure can be achieved through MPAs placed near markets, thereby contributing to benthic habitat restoration and the recovery of associated fishes. By contrast, recovery of the world's largest and most endangered fishes in pelagic systems requires the creation of highly protected areas in remote locations, including on the High Seas, where protection efforts lag.

Adapting the Multiple Sclerosis Functional Composite for Telehealth Administration Using Videoconference Delivery: Methodological Considerations and Interrater Reliability

ObjectiveTo describe the adaptations made and to examine interrater reliability and feasibility of administering a telehealth version of the Multiple Sclerosis Functional Composite (tele-MSFC). DesignThe Multiple Sclerosis Functional Composite (MSFC) is a commonly used, in-person clinical outcome assessment. It is composed of the timed 25-Foot Walk Test (T25FWT), Nine-Hole Peg Test (NHPT), and Paced Auditory Serial Addition Test (PASAT). The MSFC was adapted for videoconference administration as part of a larger clinical trial. One of the adaptations included administering a timed 12.5-Foot Walk Test (T12.5FWT) for participants who did not have adequate space in their homes for the T25FWT. Participants, examiners, and raters completed surveys online about their satisfaction and experience with tele-MSFC. SettingParticipants underwent the tele-MSFC in their homes using a laptop or smartphone while examiners scored the tele-MSFC in real-time at a remote location. ParticipantsAdults (n=61) with mild-to-moderate multiple sclerosis (MS) symptoms. InterventionsNot applicable. Main Outcome MeasureTele-MSFC. ResultsIntraclass correlation coefficients (ICC) assessed interrater reliability between the examiner and 2 independent raters who later scored a recording of the tele-MSFC. Interrater reliability was excellent (ICC>0.90) for all tests, including the T12.5FWT. Participants were highly satisfied with tele-MSFC. However, challenges included adequate space for T25FWT, technical difficulties, and safety and privacy considerations of individuals with moderate impairments who were requested to have their caregivers present during testing. ConclusionThe tele-MSFC is reliable and feasible to administer with adaptations for adults with mild to moderate MS symptoms. Further validation of T12.5FWT is needed.

Resuscitative Endovascular Balloon Occlusion of the Aorta in Non-Traumatic Out-of-Hospital Cardiac Arrest: A State-of-the-Art Review

Out-of-hospital cardiac arrest (OHCA) is one of the most important causes of death worldwide. Resuscitative endovascular balloon occlusion of the aorta (REBOA) is an interesting new device that has been developed as a bridge therapy to treat trauma patients with non-compressible torso hemorrhage. REBOA has also been tested in non-traumatic OHCA, but the results are inconclusive. The aim of this review is to describe the state of the art in the use of REBOA for the management of non-traumatic out-of-hospital cardiac arrest. We performed a state-of-the-art review of the literature, searching for the therapeutic role of REBOA in the management of non-traumatic OHCA. We interviewed PubMed, Central, and Embase, and searched for citations before May 2023 using these criteria: “non-traumatic out-of-hospital cardiac arrest” and “resuscitative endovascular balloon occlusion of the aorta”. We selected only observational studies because controlled trials have not been published yet. All studies demonstrated the feasibility of REBOA placement in the management of non-traumatic OHCA and the improvement of all perfusion markers. Although some important uncertainties still remain, REBOA has the potential to become a new cornerstone in the therapy of OHCA and change the management of cardiac arrest, especially in remote locations which require a long time for scene arrival and an even longer time for metropolitan hospital arrival, where an ECPR is available.

The improved aquila optimization approach for cost-effective design of hybrid renewable energy systems

The growing demand for renewable energy systems is driven by climate change concerns, government support, technological advancements, economic viability, and energy security. These factors combine to create a strong momentum towards a clean and sustainable energy future. Governments, governments, and individuals are increasingly aware of the environmental impacts of traditional energy sources and adopting renewable energy solutions. Hybrid Renewable Energy Systems (HRES) are developed as an effective way of meeting the energy demands in remote locations. The complexity of the system components and the fluctuation of renewable energy sources make it difficult to design an economical and effective HRES. In this study, the Improved Aquila Optimization (IAO) approach has been suggested as a powerful tool to optimize the HRES design. The study addresses the implementation of the IAO approach in the design of HRES and emphasizes its advantages over other optimization techniques. Through extensive simulations and analyses, our findings demonstrate the superior performance of the IAO algorithm in improving the efficiency and cost-effectiveness of HRES. The optimization process using IAO resulted in a significant reduction in overall system costs, achieving an estimated Net Present Cost (NPC) of $201,973. It translates to a cost reduction of 25% compared to conventional optimization techniques. Furthermore, our analysis reveals that the IAO approach enhances the utilization of renewable energy sources, leading to a 15% increase in overall energy generation efficiency. These results highlight the effectiveness of the IAO approach in addressing the challenges associated with designing HRES. By significantly reducing costs and improving efficiency, it facilitates the adoption of sustainable energy systems in remote areas. The outcomes of this study emphasize the importance of utilizing advanced optimization techniques, such as IAO, to ensure the economic viability and environmental sustainability of HRES.