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Journal articles on the topic 'Adaptation energy'

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Published: 10 December 2022
Last updated: 28 January 2023

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1

Loenneke, Jeremy P. "What is adaptation energy?" Journal of Trainology 10, no. 1 (January 22, 2021): 1. http://dx.doi.org/10.17338/trainology.10.1_1.

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2

Hallin, Per Olof. "Energy, Lifestyles and Adaptation." Geografiska Annaler. Series B, Human Geography 76, no. 3 (1994): 173. http://dx.doi.org/10.2307/490640.

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3

Hallin, Per Olof. "Energy, Lifestyles and Adaptation." Geografiska Annaler: Series B, Human Geography 76, no. 3 (October 1994): 173–85. http://dx.doi.org/10.1080/04353684.1994.11879674.

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4

Mohd Anuar, Aliya Syahira, Wan Norsyafizan W. Muhamad, Darmawaty Mohd Ali, Suzi Seroja Sarnin, and Norfishah Ab Wahab. "A review on link adaptation techniques for energy efficiency and QoS in IEEE802.11 WLAN." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 1 (January 1, 2020): 331. http://dx.doi.org/10.11591/ijeecs.v17.i1.pp331-339.

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<span>Link adaptation is a technique that able to adapt modulation and coding scheme (MCS) based on radio channel conditions. With the exponential increase on the wireless devices nowadays, it contributes to high energy consumption and an increase in carbon dioxide (CO<sub>2</sub>) emission which contribute to the environmental issue. Researchers have developed proposals to tackle these issues by design algorithms based on link adaptation technique. Nowadays, various link adaptation techniques have been proposed by researchers with target for either Quality of Service (QoS) enhancement as well as energy efficiency. This paper presents A Review on Link Adaptation Techniques for Energy Efficiency and QoS in IEEE802.11 WLAN. In this study, a comprehensive review of the relevant literature published that focus on link adaptation technique in IEEE 802.11 WLAN in improving the energy efficiency and maximize the QoS performance is presented. Link adaptation can be categorized into transmission power control adaptation, transmission data rate adaptation and joint rate adaptation. These adaptations are carried out according to the channel state information (CSI). CSI can be categorized into signal-to-noise ratio (SNR), bit error rate (BER), delay, and queue length.</span>
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5

Rijal, Hom B., Michael A. Humphreys, and J. Fergus Nicol. "Behavioural Adaptation for the Thermal Comfort and Energy Saving in Japanese Offices." Journal of the Institute of Engineering 15, no. 2 (July 31, 2019): 14–25. http://dx.doi.org/10.3126/jie.v15i2.27637.

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Office workers use a variety of adaptive opportunities to regulate their indoor thermal environment. The behavioural adaptations such as window opening, clothing adjustments, and use of heating/cooling are important factors for adaptive thermal comfort. It is well-known that they are the most important contributors in the adaptive thermal comfort model. Thus, if we understand the behavioural adaptation properly, we can explain the mechanism of the adaptive model. The indoor thermal environment is often adjusted using the air conditioning in Japanese office buildings to improve thermal comfort and productivity. Thus, it is necessary to conduct research on the behavioural adaptation in the offices because the occupant behavior is different from behaviour in dwellings. In order to record the seasonal differences in behavioural adaptation and to develop an adaptive algorithm for Japanese offices, we measured temperatures in 11 office buildings and conducted the thermal comfort and occupant behaviour survey for over a year. We collected 4,660 samples from about 1,350 people. The proportion of ‘open window’ in the free running mode (neither heating nor cooling being used) is significantly higher than that of the air conditioned mode. The behavioural adaptation is related to the outdoor air temperature. The behavioural adaptations such as window-opening, heating and cooling use predicted by regression analysis are in good agreement with the measured data. These findings can be applied to building thermal simulation to predict the behavioural adaptation and energy use in office buildings.
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6

Gorban, Alexander N., Tatiana A. Tyukina, Elena V. Smirnova, and Lyudmila I. Pokidysheva. "Evolution of adaptation mechanisms: Adaptation energy, stress, and oscillating death." Journal of Theoretical Biology 405 (September 2016): 127–39. http://dx.doi.org/10.1016/j.jtbi.2015.12.017.

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7

Camps, Stefan G. J. A., Sanne P. M. Verhoef, and Klaas R. Westerterp. "Leptin and energy restriction induced adaptation in energy expenditure." Metabolism 64, no. 10 (October 2015): 1284–90. http://dx.doi.org/10.1016/j.metabol.2015.06.016.

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8

Flinn, Jason, and M. Satyanarayanan. "Energy-aware adaptation for mobile applications." ACM SIGOPS Operating Systems Review 34, no. 2 (April 2000): 13–14. http://dx.doi.org/10.1145/346152.346170.

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9

Frenk, S. "Metabolic adaptation in protein-energy malnutrition." Journal of the American College of Nutrition 5, no. 4 (January 1986): 371–81. http://dx.doi.org/10.1080/07315724.1986.10720140.

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10

Flinn, Jason, and M. Satyanarayanan. "Energy-aware adaptation for mobile applications." ACM SIGOPS Operating Systems Review 33, no. 5 (December 12, 1999): 48–63. http://dx.doi.org/10.1145/319344.319155.

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11

Herdt, Thomas H. "Ruminant Adaptation to Negative Energy Balance." Veterinary Clinics of North America: Food Animal Practice 16, no. 2 (July 2000): 215–30. http://dx.doi.org/10.1016/s0749-0720(15)30102-x.

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12

Lan, Ganhui, Pablo Sartori, and Yuhai Tu. "The Energy Cost of Sensory Adaptation." Biophysical Journal 100, no. 3 (February 2011): 417a. http://dx.doi.org/10.1016/j.bpj.2010.12.2472.

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13

Rijal, Hom B., Michael A. Humphreys, and J. Fergus Nicol. "Study on Behavioural Adaptation for the Thermal Comfort and Energy Saving in Japanese Offices." Journal of the Institute of Engineering 15, no. 3 (October 16, 2020): 292–99. http://dx.doi.org/10.3126/jie.v15i3.32206.

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Office workers use a variety of adaptive opportunities to regulate their indoor thermal environment. The behavioural adaptations such as window opening, clothing adjustments, heating/cooling use are one of the important factors for the adaptive thermal comfort. It is well-known that they are the most important contributors in the adaptive thermal comfort model. Thus, if we understand the behavioural adaptation properly, we can explain the mechanism of the adaptive model. In addition, the indoor thermal environment is often adjusted using the air conditioning in Japanese office building to improve the thermal comfort and productivity. Thus, it is necessary to conduct research on the behavioural adaptation in the offices because the occupant behavior is different to the dwellings. In order to record the seasonal differences in behavioural adaptation and to develop an adaptive algorithm for Japanese offices, we measured temperatures in 11 office buildings and conducted the thermal comfort and occupant behaviour survey for over a year in Japanese offices. We collected 4,660 samples from about 1350 people. The proportion of ‘open window’ in the free running mode (neither heating or cooling being used) is significantly higher than that of the air-conditioned mode. The behavioural adaptation is related to the outdoor air temperature. The behavioural adaptation predicted by the regression analysis is in good agreement with the measured data. These findings can be applied to the building thermal simulation to predict the behavioural adaptation and energy use in office buildings.
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14

Borowski, Piotr F. "New Technologies and Innovative Solutions in the Development Strategies of Energy Enterprises." HighTech and Innovation Journal 1, no. 2 (June 1, 2020): 39–58. http://dx.doi.org/10.28991/hij-2020-01-02-01.

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Energy companies face challenges arising from the ecological, social and legal environment. The reduction of negative impact on the environment and society while maintaining sustainable development affects the formation of new development strategies and push to introduce the state of art innovative technologies. The main aim of the research is to analyze the importance and role of the adaptation strategy to external requirements and to determine the mechanisms of the occurrence of passive and active adaptation. As a new approach to carrying out strategic analysis, two models were used simultaneously (inductive and hypothetical-deductive) which allows for realization qualitative (interviews, observations) and quantitative (statistical analysis) research methods generally called mixed methods. The study was conducted on the basis of mixed-method analysis of adaptations strategies of enterprises from the energy sector. The results of the conducted research show the influence of particular macroeconomic elements (e.g. technologies, ecologies) on making strategic decisions. The issue of adapting an enterprise to its environment is also related to its involvement in the research and development (R&D) sphere. Depending on the size of the company there are different amounts dedicated to R&D. Regulations and the technological environment force innovations of energy companies in the direction of reducing harmful impact on the environment and society. Legal and political factors (both national and EU) determine the activities of power companies (in each group: small, medium and large) and determine the choice of adaptation strategies. The intensity of adaptation to the requirements of the environment changes depends on the size of the company. Power companies apply passive adaptation strategies and as they increase their position on the market, they begin to implement an active adaptation strategy.
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15

Kaya, Abdullah, Toufic Mezher, and I.-Tsung Tsai. "Firms’ Perspective on Technology Relatedness and Adaptation: A Survey on Renewable Energy Firms." International Journal of Trade, Economics and Finance 5, no. 5 (October 2014): 414–19. http://dx.doi.org/10.7763/ijtef.2014.v5.408.

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16

Wang, Qiang, Jumin Zhao, Xiaoyu Lv, Dengao Li, and Ruiqin Bai. "Energy-aware rate adaptation for computational RFID." International Journal of Sensor Networks 36, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijsnet.2021.10038180.

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17

Mukwaya, Paul Isolo. "Urban Adaptation to Energy Insecurity in Uganda." Current Urban Studies 04, no. 01 (2016): 69–84. http://dx.doi.org/10.4236/cus.2016.41006.

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18

Abraham, John P., and Lijing Cheng. "Intersection of Climate Change, Energy, and Adaptation." Energies 15, no. 16 (August 13, 2022): 5886. http://dx.doi.org/10.3390/en15165886.

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19

Bai, Ruiqin, Jumin Zhao, Dengao Li, Xiaoyu Lv, and Qiang Wang. "Energy-aware rate adaptation for computational RFID." International Journal of Sensor Networks 36, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijsnet.2021.115439.

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20

Stoian, Marta. "Renewable energy and adaptation to climate change." Western Balkan Journal of Agricultural Economics and Rural Development 3, no. 2 (2021): 111–21. http://dx.doi.org/10.5937/wbjae2102111s.

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Climate change is an unprecedented challenge in human history. It requires further immediate and concerted action. Understanding the stage of development of each energy resource, as the impact on the energy system to make informed decisions and prescribe a healthy energy future has thus become a priority. Decisions such as the phasing out of fossil fuels and the transition to an efficient and 100% renewable energy system, as well as increasing the storage capacity of greenhouse gases using environmentally sustainable approaches, maintaining natural ecosystems that generate environmental services, and restoring the degraded ones are now a top issue. Therefore, the relationship between energy and environmental policy is becoming essential. Accordingly, this paper will focus on the transition to renewable energy, the adaptation to climate change and the energy transition at EU level being strenuously debated, in order to build a holistic context of the actual situation. Adaptation to climate change requests a complex scientific study, given the diversity of uncertainties involved, and the interconnections between different areas, such as agriculture, sustainable development or energy industry. Therefore, the aim of research is to provide holistic understanding of the current climate issues, according to the mentioned fields. In this context, it is emphasized the benefits of clean energy by investigating the methods for achieving a prolific energy transition, from a conventional to a sustainable one. Carefully analysing the commitments and the transition to a low-carbon electricity system looking behind the causes and studying closely the underlying elements of all these topics, using the qualitative research method as a basis to indulge in further analysis and research, it was outlined a detailed analysis of the current climate context. In conclusion, the effect of the pressure brought into play by human exploitation of goods and services on the ecosystems was associated with the ongoing concerns of environmental degradation, climatic variations, natural and ecological distortions, and financial setbacks. Taking into account the drive toward accomplishing sustainable development and environmental quality, powerful policies are being implemented, but given the variety of investment conditions in each country and including the different characteristics of the financial markets, there is no unique solution that works for everybody. Therefore, the transition to a more sustainable energy system has a verity of implications but it is an essential condition for sustainable development.
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21

Flinn, Jason, and M. Satyanarayanan. "Managing battery lifetime with energy-aware adaptation." ACM Transactions on Computer Systems 22, no. 2 (May 2004): 137–79. http://dx.doi.org/10.1145/986533.986534.

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22

Hartog, Jessica, Elif Dede, and Madhusudhan Govindaraju. "MapReduce framework energy adaptation via temperature awareness." Cluster Computing 17, no. 1 (May 25, 2013): 111–27. http://dx.doi.org/10.1007/s10586-013-0270-y.

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23

Scrimshaw, Nevin, and Vernon Young. "Adaptation to Low Protein and Energy Intakes." Human Organization 48, no. 1 (March 1, 1989): 20–30. http://dx.doi.org/10.17730/humo.48.1.f141vp5456339880.

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This paper focuses on two principal issues. First, what are the consequences of low dietary protein and amino acid intakes? Second, what are the physiological and social limits to restricted energy intakes? The concepts of adaptation and accommodation are presented. It is suggested that the limit of adaptation to low dietary protein is achieved at the intake level considered minimally necessary to maintain health in well-nourished subjects, as judged by nitrogen balance, stable lean body mass and absence of functional impairment. For lower protein intakes survival is prolonged via an accommodation, involving loss of lean body mass and reduced rates of protein and amino acid turnover. There is only a limited metabolic capacity for adaptation to reduced energy intakes, but variations in the level and pattern of physical activity permit a maintenance of body energy balance over a broad range of energy intakes. Where reduced physical activity to balance restricted energy intakes has adverse social, cultural and/or economic consequences the response should be viewed as an accommodation and not as adaptation. The range of adaptation depends on the criteria of normality and the assessment of the biological and social costs of changes with low intakes.
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24

Bolla, Raffaele, Roberto Bruschi, and Paolo Lago. "Energy adaptation in multi-core software routers." Computer Networks 65 (June 2014): 111–28. http://dx.doi.org/10.1016/j.comnet.2014.02.027.

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25

Cañete, Angel, Jose-Miguel Horcas, Inmaculada Ayala, and Lidia Fuentes. "Energy efficient adaptation engines for android applications." Information and Software Technology 118 (February 2020): 106220. http://dx.doi.org/10.1016/j.infsof.2019.106220.

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26

Baird, Joyce D. "Some aspects of the metabolic and hormonal adaptation to pregnancy." Acta Endocrinologica 113, no. 3_Suppl (August 1986): S11—S18. http://dx.doi.org/10.1530/acta.0.111s0011.

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Abstract. Metabolic adaptations to pregnancy are directed towards ensuring fetal growth and development, provision of a fetal store of energy, and the establishment of a maternal bank of energy. At any one time the demands of these objectives are competing for the available dietary energy, yet to ensure successful reproduction all three must be met. Current concepts suggest that the metabolic adaptation to pregnancy is designed primarily to safeguard against variable and restricted energy intake and that this is achieved by 1) a reduction in energy expenditure, resulting from decreased activity combined with increased metabolic efficiency, 2) phased metabolic activity affecting carbohydrate, fat and protein. Conservation of energy in maternal adipose tissue dominates the first half of pregnancy, while in late pregnancy the available energy is redirected to the fetus. This biphasic metabolism is programmed by the placental steroids whose secretion is independent of maternal diet. Internal redistribution of substrate under hormonal control is the main characteristic of the metabolic adaptation to pregnancy. The precise mechanisms underlying these adjustments have still to be defined.
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27

Vardhan, Vibhore, Wanghong Yuan, Albert F. Harris, Sarita V. Adve, Robin H. Kravets, Klara Nahrstedt, Daniel G. Sachs, and Douglas L. Jones. "GRACE-2: integrating fine-grained application adaptation with global adaptation for saving energy." International Journal of Embedded Systems 4, no. 2 (2009): 152. http://dx.doi.org/10.1504/ijes.2009.027939.

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28

Martínez-Corral, Aurora, Javier Cárcel-Carrasco, Jangveer Kaur, and Fabiola Colmenero Fonseca. "Analysis of thermal insulation in social housing in Spain (1939–1989) and its possible adaptation to the Sustainable Development Goals (SDGs)." AIMS Energy 10, no. 6 (2022): 1190–215. http://dx.doi.org/10.3934/energy.2022056.

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<abstract> <p>The construction of protected housing in Spain during the period analysed (1939–1989) reached its maximum between 1950–1980 with the construction of almost three million homes per year. The analysis of the homes built for railroad workers from this housing stock is distinct for four main reasons: it is a housing stock with a representative number of homes in relation to the total of social housing built in Spain, which is still mostly in use and covers all the typologies used in the country and which is dispersed throughout it. Thus, for the present analysis, there is a sample that is adequately representative of the whole stock of social housing constructed in Spain, this sample enables a comparative global analysis that can be extrapolated to the remaining stock. The objective of this study is to analyse the energy efficiency of homes through the thermal analysis of the envelope, as well as to acknowledge the specific constructive limitations of these homes and if possible, their rehabilitation that guarantees compliance with the required standards regarding sustainability and energy efficiency set by the Sustainable Development Goals (SDGs) established in the 2030 Agenda. This is a crucial goal to achieve, as the Spanish building stock currently consumes 30% of the total energy consumed, in addition to the socioeconomic profile and the potential for energy poverty, there is a portion of social housing with a precarious construction lacking the heating facilities, which is required due to the weather, with a significant potential for savings and the incorporation of renewable energies.</p> </abstract>
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29

Uemura, Mitsunori, Guangqiang Lu, Sadao Kawamura, and Shugen Ma. "1A1-A21 Energy Saving Motion of Multi-Joint Robots Through Stiffness Adaptation and DFC." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2008 (2008): _1A1—A21_1—_1A1—A21_4. http://dx.doi.org/10.1299/jsmermd.2008._1a1-a21_1.

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30

Aldieri, Luigi, Andrea Gatto, and Concetto Paolo Vinci. "Evaluation of energy resilience and adaptation policies: An energy efficiency analysis." Energy Policy 157 (October 2021): 112505. http://dx.doi.org/10.1016/j.enpol.2021.112505.

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31

Davide, Marinella, Enrica De Cian, and Alexis Bernigaud. "Building a Framework to Understand the Energy Needs of Adaptation." Sustainability 11, no. 15 (July 29, 2019): 4085. http://dx.doi.org/10.3390/su11154085.

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Adaptation is a critical option to cope with climate change, as it alleviates the residual climate damages not avoided by emission reduction measures. However, adaptive actions can consume extra amounts of energy. This paper introduces a framework to identify the energy use associated with adaptation and qualifies its relevance in terms of sustainable development. A qualitative, bottom-up analysis of the policy commitments submitted in the context of the Paris Agreement and the 2030 UN Agenda for sustainable development is complemented with a review of the literature on adaptation, energy, and sustainable development. The analysis of the policy options related to vulnerability reduction in the Nationally Determined Contributions reveals a set of recurring adaptation strategies strongly associated with energy use. By linking the resulting options to the United Nations’ Sustainable Development Goal (SDG) targets and indicators, we show that energy-related adaptation options are all connected to at least one SDG, though the strength of the connection varies across adaptation options and SDGs. The descriptive synthesis provided in this paper sets a framework for future research aimed at assessing the energy implications of adaptation strategies, contributing to further understand the nexus between climate policy and development.
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32

Claes, Dag Harald. "The Process of Europeanization: Norway and the Internal Energy Market." Journal of Public Policy 22, no. 3 (September 2002): 299–323. http://dx.doi.org/10.1017/s0143814x02002027.

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This paper approaches the study of national adaptation to the European Union as a process involving institutional constraints and actors' interactions across levels of decision-making. The argument is that domestic adaptation to the EU is a matter of the ability and willingness to conduct integrative political bargaining rather than a matter of matching institutional structures. The paper provides an empirical case study of the Norwegian adaptation to EU energy sector legislation, the Internal Energy Market (IEM). The various outcomes of different directives in this sector indicate that the structural feature of a particular state or policy sector is inadequate to explain fully variations in national and domestic adaptation to EU legislation. The paper focuses on characteristics of the process of adaptation itself, such as affectedness, policy similarities, bargaining opportunities, and legal proceedings.
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33

Race, Digby, Supriya Mathew, Matthew Campbell, and Karl Hampton. "Are Australian Aboriginal Communities Adapting to a Warmer Climate? A Study of Communities Living in Semi-Arid Australia." Journal of Sustainable Development 9, no. 3 (May 30, 2016): 208. http://dx.doi.org/10.5539/jsd.v9n3p208.

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<p>Communities around the world adapt to warming climates in a number of ways. Adaptations can often be energy intensive or dependent on expensive infrastructure to cope with harsh weather, so the use of renewable energy and energy efficient housing is becoming an increasing feature in conversations about climate change adaptation. The cost of energy for households continues to increase, with this cost adding considerable financial pressure on low-income households in both developed and developing countries. The concept of ‘energy poverty’ is gaining utility around the world to highlight the prevalent dilemma faced by low-income households that they cannot afford the level of energy use to maintain their desired livelihood. In regions of the world with extended periods of extreme weather, households can allocate as much as 20 per cent of their budget on energy consumption to maintain comfortable housing. Research by the authors indicates that effective adaptation must not add to the financial burden on low-income households, if the liveability of Australia’s semi-arid region is to be sustained.</p>
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34

Allahverdyan, Armen E. "Energy dissipation and storage in adaptation and homeostasis." Physics of Life Reviews 38 (September 2021): 137–39. http://dx.doi.org/10.1016/j.plrev.2021.05.002.

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35

Aylott, Marion. "The neonatal energy triangle part 1: metabolic adaptation." Paediatric Nursing 18, no. 6 (July 2006): 38–43. http://dx.doi.org/10.7748/paed.18.6.38.s30.

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36

Pontzer, H., D. A. Raichlen, R. W. Shumaker, C. Ocobock, and S. A. Wich. "Metabolic adaptation for low energy throughput in orangutans." Proceedings of the National Academy of Sciences 107, no. 32 (August 2, 2010): 14048–52. http://dx.doi.org/10.1073/pnas.1001031107.

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37

Berry, P. M., and J. S. Paterson. "Energy mitigation, adaptation and biodiversity: Synergies and antagonisms." IOP Conference Series: Earth and Environmental Science 8 (November 1, 2009): 012023. http://dx.doi.org/10.1088/1755-1315/8/1/012023.

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38

Singh, Amit Kumar, Karunakar Reddy Basireddy, Alok Prakash, Geoff V. Merrett, and Bashir M. Al-Hashimi. "Collaborative Adaptation for Energy-Efficient Heterogeneous Mobile SoCs." IEEE Transactions on Computers 69, no. 2 (February 1, 2020): 185–97. http://dx.doi.org/10.1109/tc.2019.2943855.

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39

Miao, Guowang, Nageen Himayat, and Geoffrey Li. "Energy-efficient link adaptation in frequency-selective channels." IEEE Transactions on Communications 58, no. 2 (February 2010): 545–54. http://dx.doi.org/10.1109/tcomm.2010.02.080587.

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40

Mather, G., A. Pavan, and A. Contillo. "Modelling adaptation using the Adelson-Bergen energy sensor." Journal of Vision 12, no. 9 (August 10, 2012): 763. http://dx.doi.org/10.1167/12.9.763.

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41

Hess, David J. "Transitions in Energy Systems: The Mitigation–Adaptation Relationship." Science as Culture 22, no. 2 (June 2013): 197–203. http://dx.doi.org/10.1080/09505431.2013.786987.

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42

Yael Cohen, C. "Energy metabolism in the brain, adaptation towards starvation." Medical Hypotheses 24, no. 2 (October 1987): 177–78. http://dx.doi.org/10.1016/0306-9877(87)90101-0.

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43

Francini, Andrea, and Dimitrios Stiliadis. "Rate adaptation for energy efficiency in packet networks." Bell Labs Technical Journal 15, no. 2 (August 23, 2010): 131–46. http://dx.doi.org/10.1002/bltj.20445.

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44

Su, Xun, and Minpeng Chen. "Econometric Approaches That Consider Farmers’ Adaptation in Estimating the Impacts of Climate Change on Agriculture: A Review." Sustainability 14, no. 21 (October 22, 2022): 13700. http://dx.doi.org/10.3390/su142113700.

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The question of whether and to what extent farmers can adapt to climate change has recently gained academic interest. This paper reviews contemporary econometric approaches that assess the impacts of climate change on agriculture and consider farmer adaptation, complementing previous methodological reviews with this distinctive adaptation perspective. The value of adaptation can be measured by comparing the differences between the long-term climate change effect and the short-term weather shock effect. However, this theoretical model has not yet been well supported by empirical evidence, as it is difficult to identify true adaptation, incorporating adaptation cost, and estimated adaptation rate. Quasi-natural experiments, cost-benefit analysis, and Bayesian models are effective tools to address these methodological drawbacks. Two methods dominate in the estimation of climate effects, but each has its own advantages. A good estimate provides a trade-off between the incorporation of farmers’ adaptive behavior and the reduction in omitted variables bias. Cross-sectional data models based on climate variability can capture farmers’ long-term adaptations but are prone to bias due to omitted variables. Panel data models are more effective at mitigating omitted variable bias by applying fixed effects, but do not consider farmers’ adaptative behavior to long-term climate change. To address this dilemma, several cutting-edge approaches have been developed, including integration with the weather and climate model, the long differences approach, and the long- and short-term hybrid approach. We found three key challenges, namely: (1) exploring adaptation mechanisms, (2) the CO2 fertilization effect, and (3) estimating the distributional effects of climate impacts. We also recommend future empirical studies to incorporate satellite remote sensing data, examine the relationship between different adaptation measures, model farmers’ future climate expectations, and include adaptation costs.
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45

de Boer, Jessica, Christian Zuidema, Anton van Hoorn, and Gert de Roo. "The adaptation of Dutch energy policy to emerging area-based energy practices." Energy Policy 117 (June 2018): 142–50. http://dx.doi.org/10.1016/j.enpol.2018.02.008.

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46

Roy, Heli J., Michael J. Keenan, Erika Zablah-Pimentel, Maren Hegsted, Lisa Bulot, Carol E. O'Neil, L. Dwain Bunting, and J. Marcos Fernandez. "Adult Female Rats Defend “Appropriate” Energy Intake after Adaptation to Dietary Energy." Obesity Research 11, no. 10 (October 2003): 1214–22. http://dx.doi.org/10.1038/oby.2003.167.

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Tobore, Tobore Onojighofia. "On Energy Efficiency and the Brain’s Resistance to Change: The Neurological Evolution of Dogmatism and Close-Mindedness." Psychological Reports 122, no. 6 (August 30, 2018): 2406–16. http://dx.doi.org/10.1177/0033294118792670.

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The brain has been described as very resistant to change. However, why it does this has not been fully explained. In this paper, I propose that resilience to the disruption of consolidated memory is at the heart of the brain’s resistance to change, and this resilience is a consequence of its energy efficiency evolutionary adaptations. I discussed the implications of this energy efficiency adaptation on dogmatism, close-mindedness, and artificial intelligence.
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48

Sumiya, Bilegsaikhan. "Energy Poverty in Context of Climate Change: What Are the Possible Impacts of Improved Modern Energy Access on Adaptation Capacity of Communities?" International Journal of Environmental Science and Development 7, no. 1 (2016): 73–79. http://dx.doi.org/10.7763/ijesd.2016.v7.744.

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49

García-Martín, Eva, Albert Bifet, and Niklas Lavesson. "Energy modeling of Hoeffding tree ensembles." Intelligent Data Analysis 25, no. 1 (January 26, 2021): 81–104. http://dx.doi.org/10.3233/ida-194890.

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Energy consumption reduction has been an increasing trend in machine learning over the past few years due to its socio-ecological importance. In new challenging areas such as edge computing, energy consumption and predictive accuracy are key variables during algorithm design and implementation. State-of-the-art ensemble stream mining algorithms are able to create highly accurate predictions at a substantial energy cost. This paper introduces the nmin adaptation method to ensembles of Hoeffding tree algorithms, to further reduce their energy consumption without sacrificing accuracy. We also present extensive theoretical energy models of such algorithms, detailing their energy patterns and how nmin adaptation affects their energy consumption. We have evaluated the energy efficiency and accuracy of the nmin adaptation method on five different ensembles of Hoeffding trees under 11 publicly available datasets. The results show that we are able to reduce the energy consumption significantly, by 21% on average, affecting accuracy by less than one percent on average.
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Ismail, Mohd Norasri, Rosziati Ibrahim, and Mohd Farhan Md Fudzee. "A Survey on Content Adaptation Systems towards Energy Consumption Awareness." Advances in Multimedia 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/871516.

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The availability of heterogeneous devices has rapidly changed the way people access the World Wide Web that includes rich content applications such as video streaming, 3D games, video conferencing, and mobile TV. However, most of these devices' (i.e., mobile phone, PDA, smartphone, and tablet) capabilities differ in terms of built-in software and library (what they can display), display size (how the content appears), and battery supply (how long the content can be displayed). In order for the digital contents to fit the target device, content adaptation is required. There have been many projects focused on energy-aware-based content adaptation that have been designed with different goals and approaches. This paper reviews some of the representative content adaptation solutions that have been proposed during the last few years, in relation to energy consumption focusing on wireless multimedia streaming in mobile devices. Also, this paper categorizes the research work according to different classifications of multimedia content adaptation requirements. In addition, we discuss some energy-related challenges content adaptation systems.
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