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Dissertations / Theses on the topic 'Ai in energy'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Biswas, Avishek Ph D. Massachusetts Institute of Technology. "Energy-efficient smart embedded memory design for IoT and AI." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117831.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 137-146).<br>Static Random Access Memory (SRAM) continues to be the embedded memory of choice for modern System-on-a-Chip (SoC) applications, thanks to aggressive CMOS scaling, which keeps on providing highe

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2

Lévy, Loup-Noé. "Advanced Clustering and AI-Driven Decision Support Systems for Smart Energy Management." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASG027.

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Cette thèse aborde le clustering de systèmes énergétiques complexes et hétérogènes au sein d'un système d'aide à la décision (SAD).Dans le chapitre 1, nous explorons d'abord la théorie des systèmes complexes et leur modélisation, reconnaissant les bâtiments comme des Systèmes Complexes Sociotechniques. Nous examinons l'état de l'art des acteurs impliqués dans la performance énergétique, identifiant notre cas d'étude comme le Tiers de Confiance pour la Mesure et la Performance Énergétique (TCMPE). Face à nos contraintes, nous nous focalisons sur le besoin d'un système d'aide à la décision pour

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3

Kurén, Jonathan, Simon Leijon, Petter Sigfridsson, and Hampus Widén. "Fault Detection AI For Solar Panels." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413319.

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The increased usage of solar panels worldwide highlights the importance of being able to detect faults in systems that use these panels. In this project, the historical power output (kWh) from solar panels combined with meteorological data was used to train a machine learning model to predict the expected power output of a given solar panel system. Using the expected power output, a comparison was made between the expected and the actual power output to analyze if the system was exposed to a fault. The result was that when applying the explained method an expected output could be created which

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4

Parginos, Konstantinos. "Advanced Methods for Enhancing the Interpretability of AI tools in the Energy Sector." Electronic Thesis or Diss., Université Paris sciences et lettres, 2025. http://www.theses.fr/2025UPSLM006.

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La prise de décision en énergie repose sur des modèles complexes intégrant de nombreuses incertitudes. L'essor des énergies renouvelables (ENR) accroît cette complexité en raison de leur dépendance météorologique. Bien que l'IA améliore la prévision et l'optimisation, son manque d'interprétabilité freine son adoption. Cette recherche clarifie l'explicabilité des modèles, développe une IA symbolique pour les enchères ENR, applique des modèles à règles pour la prévision de l'adéquation réseau et utilise les cartes cognitives floues à flux d'information (IF-FCMs) pour la prévision des surcharges

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5

Lilla, Abdurahman Daleel. "AI-based hybrid optimisation of multi-megawatt scale permanent magnet synchronous generators for offshore wind energy capture." Master's thesis, Faculty of Engineering and the Built Environment, 2019. https://hdl.handle.net/11427/31667.

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The finite nature of earth’s natural resources has become a post-industrial reality. Despite their alarming depletion, fossil fuels still dominated the global final energy landscape. Technological advances and rapid deployment of various renewable energy technologies have demonstrated their potential at reducing the worlds dependency on fossil fuels and their negative impacts. Presently, wind energy is the most cost-effective means of renewable energy conversion in the developed world and has currently has a price point that is in direct competition with fossil fuel. Coupled with the low price

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6

Sa'ad, Aisha. "Developing integrated maintenance strategies for renewable energy sources based on analytical methods and artificial intelligence (AI) : comparisons and case study." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0080.

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Au cours de ces récentes années, le développement des énergies renouvelables, en particulier l'énergie solaire et l'énergie éolienne, a attiré comme méthode alternative de production d'énergie, l'attention du monde entier avec une croissance exceptionnelle de sa production. Selon le rapport de Global Energy, l'énergie solaire mondiale devrait avoir atteint une capacité cumulée de 1 TW, tandis que l'énergie éolienne devrait avoir été multipliée par 3 ou 4 mégas par rapport à la production en 2020. Cette augmentation des énergies solaire et éolienne implique des investissements financiers très i

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7

Lundin, Lowe. "Artificial Intelligence for Data Center Power Consumption Optimisation." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447627.

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The aim of the project was to implement a machine learning model to optimise the power consumption of Ericsson’s Kista data center. The approach taken was to use a Reinforcement Learning agent trained in a simulation environment based on data specific to the data center. In this manner, the machine learning model could find interactions between parameters, both general and site specific in ways that a sophisticated algorithm designed by a human never could. In this work it was found that a neural network can effectively mimic a real data center and that the Reinforcement Learning policy "TD3"

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8

Nardello, Matteo. "Low-Power Smart Devices for the IoT Revolution." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/274371.

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Internet of Things (IoT) is a revolutionary paradigm approaching both industries and consumers everyday life. It refers to a network of addressable physical objects that contain embedded sensing, communication and actuating technologies, to sense and interact with the environment where being deployed. It can be considered as a modern expression of Mark Weiser's vision of ubiquitous computing where tiny networked computers become part of everyday objects, fusing together the virtual world and the physical word. Recent advances in hardware solutions have led to the emergence of powerful wirele

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9

Nardello, Matteo. "Low-Power Smart Devices for the IoT Revolution." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/274371.

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Internet of Things (IoT) is a revolutionary paradigm approaching both industries and consumers everyday life. It refers to a network of addressable physical objects that contain embedded sensing, communication and actuating technologies, to sense and interact with the environment where being deployed. It can be considered as a modern expression of Mark Weiser's vision of ubiquitous computing where tiny networked computers become part of everyday objects, fusing together the virtual world and the physical word. Recent advances in hardware solutions have led to the emergence of powerful wireles

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10

Lourenção, Gil Vicente Nagai. "O espírito japonês : esboço para uma arqueologia etnográfica do Ki 守破離 – Shuhari – Os três momentos do aprendizado da maestria". Universidade Federal de São Carlos, 2016. https://repositorio.ufscar.br/handle/ufscar/7747.

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Submitted by Bruna Rodrigues (bruna92rodrigues@yahoo.com.br) on 2016-10-03T13:46:27Z No. of bitstreams: 1 TeseGVNL.pdf: 2955100 bytes, checksum: 553f443c2ae3e29fa5380d0acaf92dcb (MD5)<br>Approved for entry into archive by Marina Freitas (marinapf@ufscar.br) on 2016-10-10T17:30:35Z (GMT) No. of bitstreams: 1 TeseGVNL.pdf: 2955100 bytes, checksum: 553f443c2ae3e29fa5380d0acaf92dcb (MD5)<br>Approved for entry into archive by Marina Freitas (marinapf@ufscar.br) on 2016-10-10T17:30:44Z (GMT) No. of bitstreams: 1 TeseGVNL.pdf: 2955100 bytes, checksum: 553f443c2ae3e29fa5380d0acaf92dcb (MD5)<br>Mad

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11

Succar, Sami. "Création et outillage d'une méthodologie permettant l'accélération du processus de décarbonation de sites industriels automobiles basée sur le transfert intersites de connaissances relatives aux Mesures de Décarbonation." Electronic Thesis or Diss., Université Grenoble Alpes, 2025. http://www.theses.fr/2025GRALI011.

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Les conséquences néfastes des activités anthropiques sur la biosphère sont indéniables. En particulier, le dérèglement climatique constitue une menace qu’il est impératif d’atténuer. Pour ce faire, le GIEC a proposé un plan d’action consistant à maintenir le réchauffement de la température atmosphérique moyenne en dessous de 2°C d’ici à 2050. Ce plan d’action met la décarbonation au premier plan, l’objectif étant notamment pour les industriels de réduire leurs émissions directes et indirectes relatives à l’activité de leurs sites de production de manière à atteindre la neutralité carbone avant

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12

Teng, Sin Yong. "Intelligent Energy-Savings and Process Improvement Strategies in Energy-Intensive Industries." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-433427.

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S tím, jak se neustále vyvíjejí nové technologie pro energeticky náročná průmyslová odvětví, stávající zařízení postupně zaostávají v efektivitě a produktivitě. Tvrdá konkurence na trhu a legislativa v oblasti životního prostředí nutí tato tradiční zařízení k ukončení provozu a k odstavení. Zlepšování procesu a projekty modernizace jsou zásadní v udržování provozních výkonů těchto zařízení. Současné přístupy pro zlepšování procesů jsou hlavně: integrace procesů, optimalizace procesů a intenzifikace procesů. Obecně se v těchto oblastech využívá matematické optimalizace, zkušeností řešitele a pr

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13

Antonucci, Domenico Fernando. "Il metodo di calcolo quasi-stazionario del fabbisogno energetico di raffrescamento in Italia." Doctoral thesis, Università degli studi di Padova, 2013. http://hdl.handle.net/11577/3423416.

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ABSTRACT Current national standards for determining the energy performance of buildings, are four parts of UNI TS 11300, which provide the calculation procedures in order to determine the thermal and primary energy and the use of renewable energy for air conditioning in winter and summer , as well as for the production of domestic hot water. In UNI TS 11300-1:2008. Energy performance of buildings - Part 1: Determination of thermal energy demand for air conditioning in winter and summer , and in the document CTI 010200043. DRAFT, Revision of the technical specification UNI / TS 11300-1, o

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14

Tychonievich, Luther A. "Simulation and Visualization of Environments with Multidimensional Time." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2266.pdf.

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15

Rastgoufard, Samin. "Applications of Artificial Intelligence in Power Systems." ScholarWorks@UNO, 2018. https://scholarworks.uno.edu/td/2487.

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Artificial intelligence tools, which are fast, robust and adaptive can overcome the drawbacks of traditional solutions for several power systems problems. In this work, applications of AI techniques have been studied for solving two important problems in power systems. The first problem is static security evaluation (SSE). The objective of SSE is to identify the contingencies in planning and operations of power systems. Numerical conventional solutions are time-consuming, computationally expensive, and are not suitable for online applications. SSE may be considered as a binary-classification,

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16

Rajamani, Sathish. "Small molecule signaling and detection systems in protists and bacteria." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1155564098.

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17

Cherdo, Yann. "Détection d'anomalie non supervisée sur les séries temporelle à faible coût énergétique utilisant les SNNs." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4018.

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Dans le cadre de la maintenance prédictive du constructeur automobile Renault, cette thèse vise à fournir des solutions à faible coût énergétique pour la détection non supervisée d'anomalies sur des séries temporelles. Avec l'évolution récente de l'automobile, de plus en plus de données sont produites et doivent être traitées par des algorithmes d'apprentissage automatique. Ce traitement peut être effectué dans le cloud ou directement à bord de la voiture. Dans un tel cas, la bande passante du réseau, les coûts des services cloud, la gestion de la confidentialité des données et la perte de don

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18

COCCIA, ROSSANA. "Methodologies for the assessment of industrial and energy assets, based on data analysis and BI." Doctoral thesis, 2023. https://hdl.handle.net/11573/1663568.

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In July 2020, post pandemic onset, Europe launched the Next Generation EU (NGEU) program. The amount of resources deployed to revitalize Europe has reached 750 billion. The NGEU initiative directs significant resources to Italy. These funds can enable our country to boost investment and increase employment. The missions of Italian Recovery and Resilience Plan (PNRR) include digitization, innovation and sustainable mobility (rail network investments, etc.). In this context, this doctorate thesis discusses the importance of infrastructure for society with a special focus on energy, railway and m

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19

Chen, Wei-Hao, and 陳韋豪. "Circuit Techniques for energy-efficient ReRAM based Non-volatile computing-in-memory macros in AI edge device." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/xk7ux3.

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20

SINGH, KOMAL. "AI BASED APPROACH FOR POWER PREDICTION AND PERFORMANCE EVALUATION OF THE SOLAR PV MODULES WITH VARYING DUST ACCUMULATION LEVELS." Thesis, 2023. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19994.

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Solar energy has shown to be the undisputed leader among renewable energy sources since it is clean and environmentally benign. A photovoltaic module's output power and longevity are controlled by a number of parameters, including solar insolation, clouds, cell temperature and other shading effects such as dust deposition, meteorological conditions, geographical location, module orientation, and so on. Energy demand and concerns over greenhouse gases have made the integration of solar PV into the grid imperative. Solar power forecasting models must have a high prediction accuracy

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21

Musa, Vittoria. "Long-Lasting Nanoscale Wireless Communications with Energy-Harvesting." Doctoral thesis, 2022. http://hdl.handle.net/11589/232752.

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Il progresso tecnologico innescato dalle nanotecnologie ha recentemente promosso lo sviluppo di nanodispositivi che abilitano differenti nuove promettenti applicazioni in diversi campi. Data la dimensione limitata dei nano-dispositivi, la letteratura scientifica ha introdotto due nuovi paradigmi di comunicazione per la loro interazione: comunicazioni nella banda dei terahertz e comunicazioni molecolari. Tuttavia, la progettazione di schemi di trasmissione di lunga durata (cioè supportati da fonti energetiche rinnovabili) in questo contesto rappresenta ancora un argomento di ricerca inesplorato

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22

SBRANA, ALESSANDRO. "Faculty Development Centri di Professionalità Accademica (CPA)." Doctoral thesis, 2018. http://hdl.handle.net/11393/251175.

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mondo universitario ha subito un’ondata di cambiamenti che si possono ricondurre alla ricerca dell’eccellenza, declinata secondo le due dimensioni della valutazione e della rendicontazione. Tre sono quelli più evidenti: il primo, il passaggio da una ricerca curiosity driven a una ricerca funzionale al raggiungimento di risultati valutabili in tempi brevi; dalla ricerca pura a quella applicata, da un approccio problem-making a uno problem-solving, da una conoscenza come processo a una conoscenza come prodotto, da un modello disinteressato a uno utilitaristico (Barnett, 1994); il secondo, riguar

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