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Energy forecasting is an essential task in power system operations. Operators usually issue forecasts and leverage them to schedule energy dispatch ahead of time. However, forecast models are typically developed in a way that overlooks the operational value of the forecasts. To bridge the gap, we design a value-oriented point forecasting approach for sequential energy dispatch problems with renewable energy sources. At the training phase, we align the loss function with the overall operation cost function, thereby achieving reduced operation costs. The forecast model parameter estimation is formulated as a bilevel program. Under mild assumptions, we convert the upper-level objective into an equivalent form using the dual solutions obtained from the lower-level operation problems. Additionally, a novel iterative solution strategy is proposed for the newly formulated bilevel program. Under such an iterative scheme, we show that the upper-level objective is locally linear regarding the forecast model output, and can act as the loss function. Numerical experiments demonstrate that, compared to commonly used statistical quality-oriented point forecasting methods, forecasts obtained by the proposed approach result in lower operation costs. Meanwhile, the proposed approach is more computationally efficient than traditional two-stage stochastic programs. Accepted in IEEE Transactions on Smart Grid

The European Union's goal of achieving climate neutrality by 2050, outlined in the European Green Deal, is supported by numerous studies providing insights into pathways and emission reduction strategies in the energy sectors. However, model comparisons of such pathways are less common due to the complex nature of climate and energy modelling. Our study brings together integrated assessment models and energy system models under a common framework to develop EU policy scenarios: a Current Trends scenario reflecting existing policies and trends and a Climate Neutrality scenario aligned with the EU's emission reduction target. Both scenarios project reduced final energy consumption by 2050, driven by increased electrification and decreased fossil fuel usage. Electricity consumption increases driven by electrification despite the improved efficiency of electrified technologies. Models align on a shift toward renewables but diverge in technology and fuel choices, reflecting various approaches to reach net-zero energy systems. Furthermore, trade-offs between energy demand and supply mitigation strategies, as well as between renewable energy, e-fuels, and CCS technologies are identified. Considering these model variations, our study highlights the importance of consistent model comparison to offer reliable recommendations to policymakers and stakeholders. We conclude that model diversity is a valuable asset when used sensibly. ISSN:0360-5442 ISSN:1873-6785 Energy, 319

Abstract The magnitude and frequency of marine heatwaves are increasing and predicted to intensify, but our ability to understand the real‐world effects on vital benthic ecosystems is lagging behind. Prior insights into the impacts of marine heatwaves are often derived from observational or laboratory studies. Observational studies may not fully disentangle the complexities of potential compound events and typically focus on severe, often lethal marine heatwaves. Laboratory studies, on the contrary, while valuable for understanding specific mechanisms, often use artificial setups and can introduce unnatural disturbances that do not reflect real‐world scenarios. To investigate sublethal temperature effects of marine heatwaves in a natural benthic habitat, we developed a novel approach for inducing elevated water temperatures in situ over several days. The system utilizes domestic underfloor heating technology combined with custom‐made benthic chambers. We placed 10 chambers for 15 days in a bare‐sediment habitat at 2.5 m depth and heated five chambers to 5°C above ambient water temperatures in summer for 6 days, followed by a period of 7 days at ambient temperatures. Incubations during day and night were performed during the experiment to assess changes in ecosystem functioning (solute fluxes) and sediment cores were collected at the end of the experiment to assess the effects of a realistic marine heatwave on benthic community structure. The results indicate that while the benthic community structure remained similar between the treatments, except for a size shift of Marenzelleria spp. towards smaller individuals in the heated treatment, elevated temperatures caused a significant increase in community respiration and amplified the magnitude of either efflux or influx of nutrients (NH4+‐N, PO43−‐P and Si). Primary production during daytime incubations remained mostly unaffected by the heatwave treatment, contributing to the concept of heterotrophy being more influenced by increased temperatures than autotrophy. This study confirms the suitability of the novel system for examining the impact of temperature on benthic habitats in situ and demonstrates its potential for the investigation of complex habitats and communities, which are essential for our understanding of the ecosystem‐level effects of climate change. Read the free Plain Language Summary for this article on the Journal blog.

Algal Research 88, 104015 (2025). doi:10.1016/j.algal.2025.104015 Published by Elsevier, Amsterdam [u.a.]

Abstract With climate change, the geographic distribution of some VBDs has expanded, highlighting the need for adaptation, and managing the risks associated with emergence in new areas. We conducted a questionnaire survey on the knowledge, attitudes, and practices (KAP) about vector-borne diseases (VBDs) among sample of Finnish residents. The questions were scored and the level of KAP was determined based on scoring as poor, fair, good, or excellent. Binary logistic regression analysis was used to evaluate the associations of different KAP levels with sex, age, education, and possible previous VPD infection. We received 491/1995 (25%) responses across the country and detected generally good knowledge, but only fair practices towards VBDs. Sex and age of the respondents were most often significantly associated with the level of KAP (P > 0.05). Despite the generally good knowledge, we detected major gaps, especially regarding the distinction of tick-borne encephalitis and Lyme borreliosis (LB), risk of disease, and protective measures. Additionally, many respondents thought the vaccination protects against LB or tick bites. This calls for awareness raising on disease risk and prevention measures. With increasing cases and the effects of climate change, surveillance of VBDs communication to the general public should be strengthened.

Abstract The environmental impacts of the food system exceed several planetary boundaries, with protein production being a major contributor. Single-Cell Protein (SCP) is a protein-rich microbial biomass that offers a sustainable alternative when derived from renewable energy and sustainable feedstocks. We evaluate the global potential for SCP production utilising electrolytic hydrogen and oxygen, atmospheric carbon dioxide and nitrogen, and hourly-optimised hybrid PV-wind power plants at a 0.45° × 0.45° spatial resolution. We outline a roadmap for industrial-scale production, commencing in 2028, targeting an annual capacity of 30 million tonnes of protein by 2050. Here we show that the cost of renewable electricity-based protein (e-protein) could decline at optimal sites from 5.5–6.1 € kg−1 in 2028 to 4.0–4.5 € kg−1 by 2030, and further to 2.1–2.3 € kg−1 by 2050. Consequently, e-protein production can mostly decouple protein supply from water and arable land constraints, substantially mitigating the environmental impacts of food production.