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EVIDENT H2020- Environmental data for Swedish Cities Dataset Environmental data from 615 cities in Sweden Weather, in combination with residential characteristics and electricity consumption, might be useful to consider in association with other datasets. In the instance of EVIDENT, they will be examined in combination with electricity consumption to establish the correlation with weather and to examine if weather conditions contribute and should be considered for policy development. The data have been collected from 18.10.2021 to 4.05.2023 and refer to 615 Swedish cities. The collection has been carried out with agents created and by calling in API. In the file "Sweden_Cities_Avg_DaySect.xlsx", all cities have averaged from all measures. Also, the day has been divided into 3 sections and the averages apply to each section of the day. In each city, on average, there are 6 measurements per day. The source dataset is "swedish_cities_environmental.csv.". example country city temperature feels_like temp_min temp_max pressure humidity wind_speed wind_deg sunrise sunset weather_description There are 2 more datasets, "swedish cities environmental_tranformDay.csv" and "swedish cities environmental_week.csv", and refer to transformations made in the original dataset. The first file is about the day analysis, where the day has been divided into 3 sections and depending on the time of the measurement, a new column has been created in the Day section and can take values 0,1,2. In addition, there is the column day_hours which is the duration of the day in seconds from sunrise to sunset. Finally, there is pressure, humidity and wind speed. In the second file, the column weekday has been added and relates to the day of the week (e.g. Monday), and the daily analysis has been removed. More information can be found on the public deliverables of the EVIDENT project https://evident-h2020.eu/deliverables/. More specifically, the experiment's theoretical framework and motivation are described in are described in deliverable D1.2 Assessing behavioural biases and financial literacy and deliverable D1.3 Specifications of Big Data Analytics, in section 4 while the final design is reported in D3.2 Implementation of preparatory actions for RCT, surveys and serious game. weather Sweden environmental data Swedish climate data Sweden weather data Sweden temperature data Sweden humidity data Swedish meteorological data Sweden city climate data Swedish city weather data Sweden city temperature data Sweden city humidity data Swedish urban climate data Sweden urban weather data Sweden urban temperature data Sweden urban humidity data Dataset of Sweden city temperatures and humidities Dataset of environmental data for 700 Swedish cities Swedish city climate and weather dataset

The rapidly growing number of edge devices continuously generating data with real-time response constraints coupled with the bandwidth, latency, and reliability issues of centralized cloud computing have made computing near the edge indispensable. As a result, using Field Programmable Gate Arrays (FPGAs) at the edge, due to their unique capabilities that meet the requirements of both high-performance applications and the Internet of Things (IoT) domain, is becoming prevalent. However, designs deployed on these devices suffer from efficiency gap versus custom implementations mainly due to the overhead associated with the FPGAs reconfigurability. This problem is more pronounced in the edge domain, where most devices are battery-powered. In the first part of this dissertation, we identify and overcome the challenges xvi behind the power reduction of FPGA-based applications and propose techniques to lower their energy consumption. Our approach exploits the pessimistic timing margin of the designs to tune the voltage and improves the energy consumption by 66%. An increasing number of edge applications rely on machine learning (ML) algorithms to generate useful insights from data. While modern machine learning techniques – in particular deep neural networks (DNNs) – can produce state-of-the-art results, they often entail substantial memory and compute requirements that may exceed the power and resources available on lightweight error-prone edge devices. Hyperdimensional Computing (HDC) is an emerging lightweight and robust learning paradigm suited for the edge domain that copes with the memory and compute overhead of conventional ML algorithms. The next part of the dissertation proposes efficient FPGA-based and custom hardware implementations of HDC to enable intelligence on devices with limited resources, strict energy constraints, and in noisy environments. The proposed HDC algorithms and accelerators reduce the energy consumption by more than three orders of magnitude compared to other ML solutions, with a ...

The report provides a framework that categorises the different European Union (EU) policies, laws and governance actions identified as impacting upon food value chains in the defined areas of: fairer trading practices, food integrity (food safety and authenticity), and sustainability collaborations along food value chains. A four-stage framework is presented and illustrated with examples. The evidence shows that European Union policy activity impacting upon food value chain dynamics is increasing, both in terms of the impacts of policies upon the chains, and, in terms of addressing some of the more contentious outcomes of these dynamics. A number of policy priorities are at play in addressing the outcomes of food value chain dynamics. unevenness of the distribution of profit within food value chains, notably to farmers. Regulation of food safety and aspects of authenticity has been a key focus for two decades to ensure a functioning single market while ensuring consumer health and wellbeing. A food chain length perspective has been attempted, notably through regulations such as the General Food Law, and the rationalisation of the Official Controls on food and feed safety. However, there are still gaps in the effective monitoring and transparency of food safety and of food integrity along value chains, as exemplified by misleading claims and criminal fraud. This has led to renewed policy actions over food fraud, in particular. EU regulations, policies and related governance initiatives provide an important framework for national-level actions for EU member states and for EEA members. The more tightly EU-regulated areas, such as food safety, see fewer extra initiatives, but where there is a more general strategic policy and governance push, such as food waste reduction or food fraud, there is greater independent state-level activity. Likewise, there is much more variation in the application of both national and European (Competition) law to govern unfair trading practices impacting upon food value chains. This report presents the findings of a survey of members from the VALUMICS stakeholder platform, that were policy facing food value chain stakeholders across selected European countries, including both EU and EEA Member States. The survey was conducted to check the significance of the main policies identified in the mapping exercise at EU and national levels and so to incorporate the views of stakeholders in the research. The responses suggest the policy concerns identified in EU and national-level research resonate with food value chain stakeholders in participating nations. The report concludes by exploring in more detail how the themes of fairness and of transparency are being handled in the policy activities presented. Highlighted are the ways that both fairness and transparency can be extended within the existing frameworks of EU policy activity. The findings in this report provide an important context for further and detailed research analysis of the workings and dynamics of European food value chains under the VALUMICS project.

Efficiency First (E1st) is now an established principle of EU energy policy. It has been embedded in various legislative pieces of the Clean Energy for All package in 2018-2019. This report reviews the background of this concept and existing definitions in order to draw a definition that can serve as a basis for the ENEFIRST project and its specific objectives, that is, making E1st operational for the building sector and related energy systems. Similar concepts such as ‘Integrated Resource Planning’ (IRP) and ‘Energy Efficiency as a Resource’ have been developed in the U.S. and sometimes tried in some European countries. The well-documented U.S. experience shows how this type of approach can be implemented in the electricity sector. The European approach of E1st aims at a broader scope encompassing the entire energy system. Another difference is that the time horizon considered in the implementation of IRP, or similar concepts, in the U.S. is often in line with the cycles of utilities’ energy planning, that is, five to ten years, whilst E1st in Europe is thought to be applied in multiple timeframes, from short-term investment planning to medium-term targets (for 2030) and long-term goals (for 2050). The background analysis also highlights the importance of the scope of costs and benefits considered when comparing supply-side and demand-side resources. The general trend is to expand this scope to take into account multiple impacts, along with the experience gained in assessing them. Based on these analyses, the definition of E1st adopted for ENEFIRST is as follows: "Efficiency First gives priority to demand-side resources whenever they are more cost effective from a societal perspective than investments in energy infrastructure in meeting policy objectives. It is a decision principle that is applied systematically at any level to energy-related investment planning and enabled by an ‘equal opportunity’ policy design." This report then discusses the application of the principle in six policy areas (renewable policy, energy efficiency policy, climate policy, power market rules, building policy and energy security) with reference to the main EU legislations in these areas. The analysis does not claim to be comprehensive, but highlights the major decision points where E1st should be applied. It is the new power market design where the E1st principle is made operational most consistently from network planning to network company regulation. It is yet to be seen, however, to what extent it will be reflected in the European and national implementation. The report also analyses the process and the methodological issues when comparing demand-side resources with supply investments and identifies those typical investments — both at the system and at the household level — where its application should be considered. These decision points are illustrated by comparing business-as-usual decision paths with ones that would integrate the E1st principle.

Presentation of IMOTHEP (configurations) at the IMOTHEP 1st TECHNOLOGY WORKSHOP carried out online on Nov, 11th, 2020.

Teachers has a fundamental spot in improvement of training on the planet. Today situation in instruction area in agricultural nation like India where standard positions become old radically, individuals actually coming in this area as a result of their advantage in this area. A large portion of the new workforce chipping away at address premise or agreement premise and their positions are not gotten or might be gotten for a long time or scarcely any years relies on the agreement time frame. In the radiance of this foundation, the reason for this investigation is to survey and consider the association between uneasiness feeling with professional stability of agreement personnel working in designing universities of Punjab, India with the assistance of stress model to evaluate the fate of educating in emerging country. The examination has been led on employees working in private and government designing schools of rustic area of Gurdaspur locale of Punjab.

Although Si and Si-B alloys seem to be perfect candidates as high temperature PCMs (phase change materials) (in terms of their high melting points and latent heat values), a number of scientific/technical challenges have to be faced before introducing them into real Latent heat thermal energy storage (LHTES) devices. A special attention should be paid to a proper selection of reliable refractories for building the PCM container. For this purpose, the involved teams from the Foundry Research Institute in Krakow (FRI) and Norwegian University of Science and Technology (NTNU), have agreed to explore two distinctly different approaches: (i) “Non-wetting + negligible reactivity concept” and (ii) “Self-crucible concept”, respectively. In the former attempt, it has been assumed that the selected refractory material will be inert towards the contacting PCMs, i.e. the system will be characterized by non-wetting behaviour and a lack of significant dissolution of the refractory in molten PCM as well as no new reactively formed products. On the contrary, the principles of the latter approach include a reactive formation of continuous interfacial product layer at initial stages of PCM/refractory interaction. The reactively formed layer should play a role of barrier coating, and thus forms a “self-crucible” inside the PCM vessel. In order to accomplish the Project’s goals, Si and Si-B alloys were fabricated by using various metallurgical routes (including an induction melting or an electric arc melting). After that, their high temperature solid/liquid state interaction with refractories selected in accordance to both proposed approaches, was examined. Additionally, a proper thermodynamic assessment of phase equilibria was performed in order to support obtained experimental data.