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With the increasing incidence of power blackouts attributed to climate change, climate-resilient load forecasting is increasingly necessary to enable timely network reconfiguration during extreme weather events. This paper proposes a generalised multi-factor Deep Learning (DL) model to forecast electricity load in Distribution Networks (DNs) during extreme climate periods. We optimise factors that affect forecast accuracy, including input matrix structures, calendar effects, and...
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With the increasing incidence of power blackouts attributed to climate change, climate-resilient load forecasting is increasingly necessary to enable timely network reconfiguration during extreme weather events. This paper proposes a generalised multi-factor Deep Learning (DL) model to forecast electricity load in Distribution Networks (DNs) during extreme climate periods. We optimise factors that affect forecast accuracy, including input matrix structures, calendar effects, and...
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Climate change is seen as a peril to the overall financial system, yet this revelation is in its infant stage. On that note, this study investigates the impact of climate change shocks on banking system resilience in selected Sub-Saharan economies. The study relies on a quantitative research method by first employing a Generalized Auto Regressive Conditional Heteroskedasticity (GARCH) (1,1) model to forecast the volatility series of the climate change variables. Further, the study applies...
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Deep learning models have been increasingly applied in the field of solar radiation prediction. However, the characteristics of a deep learning black box model restrict its application in practical scenarios such as model predictive control. Because energy system controllers may be unable to make final decisions based solely on the predictions of a black-box model. This study considers both the temporal and spatial dependencies of solar radiation predictions through unfolding sequences and...
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There is an important gap in regional information on climate change and health, limiting the development of science-based climate policies in South American countries. This study aims to identify the main gaps in the existing scientific literature on the impacts, exposure, and vulnerabilities of climate change on population health. A scoping review was performed guided by four sub-questions focused on the impacts of climate change on physical and mental health, exposure and vulnerability...
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Individuals globally spend about 88–92% of their entire time in the indoor environment. The implementation of regularly scheduled systems operation is common in many commercial and residential building types. Occupant Behavior (OB) is highly stochastic, making it difficult to depict the human factor using simple schedules. In the present work, window-opening tendencies were found to be highest in summer and transition seasons and lowest during winter. The Air Changes per Hour (ACH) value...
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The climate system is an excellent example of a “complex system” since there is an interplay and inter-relation of several climate variables. Variables such as the Standardized Precipitation Index (SPI) are used to indicate the drought climate condition – a negative (or positive) value of SPI would imply a dry (or wet) state in a region. It is difficult to identify the factors influencing the SPI or their inter-relations (including feedback loops). Here, we aim to study the complex dynamics...
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The climate system is an excellent example of a “complex system” since there is an interplay and inter-relation of several climate variables. Variables such as the Standardized Precipitation Index (SPI) are used to indicate the drought climate condition – a negative (or positive) value of SPI would imply a dry (or wet) state in a region. It is difficult to identify the factors influencing the SPI or their inter-relations (including feedback loops). Here, we aim to study the complex dynamics...
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This qualitative study aims to investigate the outlook of geography educators in Pakistan. It involves a group of around twelve participants, primarily aiming to understand their viewpoints regarding the goals of climate change education; it also explores how these viewpoints influence their teaching approaches, especially when dealing with contentious topics in geography education. The research delves into the complex educational landscape related to climate change education in Pakistan....
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The farmer field school (FFS) has been promoted as an approach for educating farmers on making adaptive farming decisions. In Malawi, the FFS has been used to enhance food security within the context of adaptation to climate change. Monitoring, evaluation and learning (MEL) extends the learning cycle from the core of the FFS to the project level to facilitate learning and adaptation for improvement of interventions. This study’s objectives were to test the utility of a MEL framework for the...
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The article examines the causes and effects of climate change and juxtaposes these with the transatlantic slave trade to glean what lessons, if any, can be learnt. It further explores any systemic linkages between transatlantic slavery and climate change, and proffers sustainable recommendations for mitigating the current dilemmas associated with slavery and climate change. To this end, this study finds that the effects of transatlantic slavery and climate change reveal multi-generational...
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This conference paper was delivered at UKFIET 2023 (Oxford). IT was a joint presentation between Laterite, Fab Inc, and Open Development & Education, as well as FCDO.
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An output of the Open Development & Education, https://opendeved.net/
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An output of the Open Development & Education, https://opendeved.net/
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Solar shading devices, such as Venetian blinds, are effective in controlling heat and light gain in buildings. This study focuses on developing an Artificial Neural Network (ANN) to automate the management of Venetian blinds in order to find a balance between energy savings and visual comfort. Typically, automatic control strategies rely on cut-off angles or maintaining appropriate indoor illuminance. However, finding the optimal trade-off between solar gain and daylight is challenging,...
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Due to climate change, the intensity, duration and frequency of heatwaves are likely to increase in the coming years. Excessive heat events can increase local urban heat island intensity affecting the health and wellbeing of urban dwellers vulnerable to heat stress. Heat-Health Warning Systems (HHWSs) have been developed to warn the public of impending heat events and to advise on preventable negative health outcomes. However, metrics upon which action triggers are made in HHWSs rely on...
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