Relevant bibliographies by topics / Electricity

Academic literature on the topic 'Electricity'

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Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Electricity"

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Lu, Peng, Mo Li, Xiang Zhang, Yibo Zou, and Shengmao Shu. "Multi-objective hydropower purchase optimization method for inter-provincial power grids under time-sharing electricity price." MATEC Web of Conferences 246 (2018): 01043. http://dx.doi.org/10.1051/matecconf/201824601043.

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The existing electric grid purchase ratio research focuses on the methods of various types of combinations of purchasing and selling business of electricity, and the methods of reasonable risk allocation between different businesses, First, it lacks the consideration of the sensitivity of customer requirements to electricity price changes . Second, it lacks the consideration of optimization of the revenue and risk of hydropower purchase in the provincial electric grid. Therefore, this paper establishes the multi-objective time-of-use power price model based on customer requirements for time-of-use power price response.It introduces a VaR-based risk assessment method. Also, it proposes a multi-objective optimization model that maximizes the expected revenue on electricity purchase and minimizes the risk of purchasing electricity. The electricity purchase ratio scheme and the electrictiy purchase risk scheme are jointly optimized to obtain the electric grid inter-provincial electrictiy purchase risk decision and the optimal electricity purchase ratio. The results show that the grid company will obtain greater economic benefits while avoiding risks as much as possible after using the power purchase optimization method of this paper.
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Ruzimakhmatovna, Sitora Boboeva. "Surkhandarya Region’s Electricity Lines." American Journal of Social Science and Education Innovations 02, no. 10 (October 28, 2020): 165–70. http://dx.doi.org/10.37547/tajssei/volume02issue10-27.

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This article discusses the history of the electrical industry of Surkhan oasis and the works of Soviet government that was related to setting electrification, adopted official documents, the archive funds and analysis of the statistical materials in this article.
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Wu, Shanshan, Guoqiang Ji, Shujun Zhang, Jiaxi Chen, and Haiqing Lu. "Quantitative Study of Post-Pandemic Electricity Productivity Fluctuations Based on LMDI." E3S Web of Conferences 528 (2024): 02004. http://dx.doi.org/10.1051/e3sconf/202452802004.

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This study focuses on China's electricity productivity post-pandemic, employing the Logarithmic Mean Divisia Index (LMDI) method and the Kaya identity. Despite the clarity of the electricity productivity indicator, factors like industrial structure, energy efficiency, and electrification rates contribute to fluctuations. Quantitative analysis reveals a decisive role of the terminal electrification rate in declining electricity productivity. The proposed analytical method provides a more accurate assessment of electricity's contribution to economic growth, aiding informed policy decisions for sustainable energy development in China.
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Keinonen, Tuula. "Electricity." International Journal of Learning: Annual Review 13, no. 3 (2007): 127–34. http://dx.doi.org/10.18848/1447-9494/cgp/v14i03/45254.

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Shamir, Micha Y., and Charles Weissman. "Electricity." A & A Practice 12, no. 2 (January 2019): 47–50. http://dx.doi.org/10.1213/xaa.0000000000000842.

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Sen Gupta, D. P. "Electricity." Resonance 2, no. 9 (September 1997): 38–47. http://dx.doi.org/10.1007/bf02834580.

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Sen Gupta, D. P. "Electricity." Resonance 2, no. 10 (October 1997): 46–53. http://dx.doi.org/10.1007/bf02835978.

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Haouraji, Charifa, Hasnaa Oubnaki, Ilham Mounir, and Badia Mounir. "Analyzing Morocco’s Electricity Consumption Changes with an LMDI Decomposition Model: A Global and Sectoral Perspective." E3S Web of Conferences 469 (2023): 00029. http://dx.doi.org/10.1051/e3sconf/202346900029.

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Over the past decade, Morocco has experienced a surge in electricity demand, driven by economic growth and population expansion. This study aims to delve into the factors influencing electricity consumption in Morocco from 2000 to 2020, examining both the overall national trends and sector-specific dynamics. Indeed, we employ the logarithmic mean Divisia index (LMDI) to assess changes in electricity consumption, considering various components like electricity's share, energy intensity, economic structure, economic activity, and population. At the national level, our findings indicate that economic growth has been the primary driver, contributing 66.22% to the total change in electricity consumption, followed by electricity's share effect (39.15%), population scale (29.44%), and the sectorial structure effect (10.85%). Conversely, energy intensity exhibited a declining trend, acting as a restraining factor. Among the analysed sectors, we observed distinct patterns that exhibited some degree of variation. While the agricultural, transport, and residential sectors were primarily affected by the production-per-capita effect, the industrial and commercial sectors were mainly influenced by the intensity effect. The results mentioned above highlight the significance of recent efforts to improve energy efficiency within the Moroccan economy. They also emphasize the necessity of further developing these strategies and introducing novel approaches to rationalize electricity consumption.
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Liu, Jun, Rui Wu, Ya Ping Liu, Wen Ya Liu, and Yang Xu. "Study of Relationship between Renewable Energy ElectricPower and Economic Development in China Based on the Principle of Asymmetric Equilibrium." Advanced Materials Research 1010-1012 (August 2014): 2041–44. http://dx.doi.org/10.4028/www.scientific.net/amr.1010-1012.2041.

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In this article, Johansen cointegration test, vector error correction model, granger causality test, impulse response and variance decomposition econometric methods were be used to study the relationship between electricity consumption and economic growth in China. In addition, the function of renewable electricity to development economic growth has been researched. The results showed that there is long-term equilibrium relationship between electricity consumption and economic growth in China, and renewable electricity’s contribution rate for economic growth is 12% currently, which expects to reach 20% in 2015.
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Hammons, T. J., B. K. Blyden, A. C. Calitz, A. B. Gulstone, E. Isekemanga, R. Johnstone, K. Paluku, N. N. Simang, and F. Taher. "African electricity infrastructure interconnections and electricity exchanges." IEEE Transactions on Energy Conversion 15, no. 4 (2000): 470–80. http://dx.doi.org/10.1109/60.900510.

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Dissertations / Theses on the topic "Electricity"

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Дядечко, Алла Миколаївна, Алла Николаевна Дядечко, Alla Mykolaivna Diadechko, and S. Seredyn. "Electricity." Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/13468.

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Taylor, Peter Graham. "Electricity privatisation and economic efficiency in electricity supply." Thesis, University of London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.481634.

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Fernandes, Megan. "Old electricity." Thesis, Boston University, 2012. https://hdl.handle.net/2144/12377.

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Thesis (M.F.A.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.
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Кугук, Ірина Олександрівна, Ирина АОлександровна Кугук, Iryna Oleksandrivna Kuhuk, and S. G. Zolotova. "Electricity savings." Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/13460.

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Золотова, Світлана Григорівна, Светлана Григорьевна Золотова, Svitlana Hryhorivna Zolotova, and V. Kuguk. "Electricity savings." Thesis, Видавництво СумДУ, 2010. http://essuir.sumdu.edu.ua/handle/123456789/17884.

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Electricity accounts for a large portion of most of our monthly bills. It was one of those "modern conveniences" that quickly became necessity, to the point that most have never lived without it and even insist that we couldn't - with good reason because of how most homes are designed. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/17884
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Ozguner, Erdem. "Short Term Electricity Price Forecasting In Turkish Electricity Market." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12615169/index.pdf.

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With the aim for higher economical efficiency, considerable and radical changes have occurred in the worldwide electricity sector since the beginning of 1980s. By that time, the electricity sector has been controlled by the state-owned vertically integrated monopolies which manage and control all generation, transmission, distribution and retail activities and the consumers buy electricity with a price set by these monopolies in that system. After the liberalization and restructuring of the electricity power sector, separation and privatization of these activities have been widely seen. The main purpose is to ensure competition in the market where suppliers and consumers compete with each other to sell or buy electricity from the market and the consumers buy the electricity with a price which is based on competition and determined according to sell and purchase bids given by producers and customers rather than a price set by the government. Due to increasing competition in the electricity market, accurate electricity price forecasts have become a very vital need for all market participants. Accurate forecast of electricity price can help suppliers to derive their bidding strategy and optimally design their bilateral agreements in order to maximize their profits and hedge against risks. Consumers need accurate price forecasts for deriving their electricity usage and bidding strategy for minimizing their utilization costs. This thesis presents the determination of system day ahead price (SGOF) at the day ahead market and system marginal price (SMF) at the balancing power market in detail and develops artificial neural network models together with multiple linear regression models to forecast these electricity prices in Turkish electricity market. Also the methods used for price forecasting in the literature are discussed and the comparisons between these methods are presented. A series of historical data from Turkish electricity market is used to understand the characteristics of the market and the necessary input factors which influence the electricity price is determined for creating ANN models for price forecasting in this market. Since the factors influencing SGOF and SMF are different, different ANN models are developed for forecasting these prices. For SGOF forecasting, historical price and load values are enough for accurate forecasting, however, for SMF forecasting the net instruction volume occurred due to real time system imbalances is needed in order to increase the forecasting accuracy.
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Commin, Andrew Neil. "Matching renewable electricity supply to electricity demand in Scotland." Thesis, University of Aberdeen, 2015. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=230176.

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The threat of climate change has led to many countries and regions adopting renewable targets. Scotland's is one of the most ambitious, with an aim to generate the equivalent to 100% of its electricity needs from renewable sources by 2020. Scotland has a very large renewable resource, primarily consisting of offshore and onshore wind, tidal stream, wave and hydro power; all of which are characterised by having variable output. Over a long period, such as a year, variability in renewable generation will average out and may meet or exceed total annual demand. This thesis investigates whether matching of demand and generation is possible within a timescale meaningful to electricity system users; that is whether renewable generation can meet electricity demand in any given hour. This was established by using historic data to create an hourly generation hindcast of Scotland's renewable generation over a 30 year climate “normal” period. These outputs are then compared to a hindcast of hourly demand based on observations over the most recent few years. The results demonstrated that it is possible for Scotland to rely entirely upon renewable generation to fulfil demand in any hour of the 30 year hindcast. However, it appears that the renewable capacity and storage currently built or within the Scottish planning system is only sufficient to match demand in 65% of the hours within the hindcast. The hindcast allows judgements to be made as to how 100% of demand could be met most effectively and provides the basis of a coherent planning strategy, with security of supply at its centre. Further wave and tidal stream capacity is shown to be of higher value than additional wind power but in the latter case, addressing the geographical diversity of wind power can enable maximise phasing between sites to increase the security of supply. Importantly this work provides a means of informing decision making about where best to develop wind, wave and tidal resources and what additional storage may be required in order to provide 100% security of supply. The results are also of particular importance to Scotland's renewable generation strategy in the case of assessing where new on- and off-shore wind farms should be developed, as wind is set to dominate Scotland's renewable portfolio for the foreseeable future.
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Vamos, Eugene. "Long run electricity pricing in a deregulated competitive electricity market." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/35461.

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Makawa-Mbewe, Patrick. "Rationalisation of electricity pricing in South Africa's electricity distribution industry." Thesis, Stellenbosch : Stellenbosch University, 2000. http://hdl.handle.net/10019.1/51893.

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Thesis (MBA)--Stellenbosch University, 2000.
ENGLISH ABSTRACT: The South African Electricity Distribution Industry is riddled with tariffs. Every utility in South Africa probably uses some method for allocating cost, whether it is theoretically founded or not. There are currently over 2000 different tariffs in South Africa and the need for rationalisation has been widely recognised and acknowledged. Many of these tariffs have not been the outflow of accepted methodologies but rather a function of individual utility policy and practices. There is however a dire need to standardise such methodologies in the future. A standardised methodology might be the only way to eventually rationalise the thousands of tariffs that exist in the electricity industry. Government has emphasised the importance of tariffs to be cost reflective in the future. The only possible way to reach this objective would be to determine clear and concise methods of allocating cost that can be utilised by the entire industry. This study project describes a standardised methodology for determining the cost to supply different customer categories in an electricity distributor. The methodology offers enough flexibility not to bind any party into laboursome, complex and time consuming costing activities. It does however require that the costs of a distributor are carefully investigated and all functions performed in the utility are isolated. This is referred to as ringfencing of costs.
AFRIKAANSE OPSOMMING: Die Suid-Afrikaanse Elektrisiteitverspreidingsbedryf het veelvuldige tariewe. Elke utiliteit in Suid-Afrika gebruik waarskynlik 'n metode vir kostetoedeling, wat nie noodwendig teoreties gebaseer is nie. Huidiglik is daar meer as 2000 verskillende tariewe in Suid-Afrika en dit word alom besef en erken dat gronde vir rasionalisering bestaan. Baie van die tariewe het nie ontstaan uit die gebruik van aanvaarbare berekeningsmetodes nie, maar was eerder die gevolg van individuele beleid en praktyke van utiliteite. Daar is 'n dringende behoefte om hierdie berekeningsmetodes in die toekoms te standardiseer. 'n Standaard metode mag die enigste manier wees om uiteindelik die duisende tariewe wat in die elektrisiteitsbedryf bestaan te rasionaliseer. Die regering het die belangrikheid dat tariewe in die toekoms koste reflekterend moet wees benadruk. Die enigste moontlike manier om hierdie doelwit te bereik, is om helder en duidelike metodes vir koste toedeling te bepaal vir gebruik deur die hele bedryf. Hierdie verhandeling beskryf 'n standaard metodologie om die koste te bepaal om verskillende klantegroepe in 'n elektrisiteitsverspreider van krag te voorsien. Die metodologie bied voldoende plooibaarheid om geen party aan arbeidintensiewe, kompleks en tydrowende kostebepalings te verbind nie. Dit vereis egter dat die koste van 'n verspreider noukeurig ondersoek word en dat alle funksies wat verrig word uitgelig word. Hierna word verwys as afbakening van kostes.
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Harbord, David William Cameron. "Competition in decentralized electricity markets : three papers on electricity auctions." Thesis, London School of Economics and Political Science (University of London), 2005. http://etheses.lse.ac.uk/2417/.

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This thesis consists of three self-contained papers on the analysis of electricity auctions written over a period of twelve years. The first paper models price competition in a decentralized wholesale market for electricity as a first-price, sealed-bid, multi-unit auction. In both the pure and mixed-strategy equilibria of the model, above marginal cost pricing and inefficient despatch of generating units occur. An alternative regulatory pricing rule is considered and it is shown that offering to supply at marginal cost can be induced as a dominant strategy for all firms. The second paper analyses strategic interaction between long-term contracts and price competition in the British electricity wholesale market, and confirms that forward contracts will tend to put downward pressure on spot market prices. A 'strategic commitment' motive for selling forward contracts is also identified: a generator may commit itself to bidding lower prices into the spot market in order to ensure that it will be despatched with its full capacity. The third paper characterizes bidding behavior and market outcomes in uniform and discriminatory electricity auctions. Uniform auctions result in higher average prices than discriminatory auctions, but the ranking in terms of productive efficiency is ambiguous. The comparative effects of other market design features, such as the number of steps in suppliers' bid functions, the duration of bids and the elasticity of demand are analyzed. The paper also clarifies some methodological issues in the analysis of electricity auctions. In particular we show that analogies with continuous share auctions are misplaced so long as firms are restricted to a finite number of bids.
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Books on the topic "Electricity"

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1959-, Lawson Jennifer E., ed. Electricity. Winnipeg: Peguis Publishers, 2001.

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Ardley, Neil. Electricity. New York: New Discovery Books, 1992.

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Woodford, Chris. Electricity. San Diego: Blackbirch Press, 2004.

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Fitzpatrick, Julie. Electricity. London: Understanding Electricity Educational Service, 1991.

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Noble, Trevor J. Electricity. [s.l.]: Electricity Supply Board, 1990.

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Glendinning, Victoria. Electricity. Thorndike, Me: Thorndike Press, 1996.

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David, Glover. Electricity. New York: Dorling Kindersley Pub., 2001.

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Glendinning, Victoria. Electricity. London: Arrow, 1996.

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Farndon, John. Electricity. New York: Benchmark Books, 2001.

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editor, Eason Sarah, and Sanderson Jennifer editor, eds. Electricity. New York, NY: Gareth Stevens Publishing, 2014.

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Book chapters on the topic "Electricity"

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McMullan, R. "Electricity." In Environmental Science in Building, 233–71. London: Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-22169-1_12.

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Kranzl, Lukas, Gerhard Totschnig, Andreas Müller, Gabriel Bachner, and Birgit Bednar-Friedl. "Electricity." In Economic Evaluation of Climate Change Impacts, 257–78. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12457-5_14.

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Watson, John. "Electricity." In Mastering Electronics, 7–18. London: Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-08533-0_2.

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Hickman, Ray, and Martin Caon. "Electricity." In Nursing Science, 174–205. London: Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-15188-2_8.

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Caon, Martin. "Electricity." In Examination Questions and Answers in Basic Anatomy and Physiology, 665–75. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47314-3_18.

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Crew, Michael A., and Paul R. Kleindorfer. "Electricity." In The Economics of Public Utility Regulation, 169–209. London: Palgrave Macmillan UK, 1986. http://dx.doi.org/10.1007/978-1-349-07295-8_8.

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Phipps, Claude. "Electricity." In No Wonder You Wonder!, 165–85. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21680-5_15.

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Calle, Carlos I. "Electricity." In Superstrings and Other Things, 167–80. Third edition. | Boca Raton : CRC Press, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429431029-17.

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Ben, Rogers. "Electricity." In The Big Ideas in Physics and How to Teach Them, 20–48. Abingdon, Oxon: Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315305431-3.

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Dunham, Richard. "Electricity." In Stage Lighting, 51–72. Second edition. | New York, NY : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315454696-4.

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Conference papers on the topic "Electricity"

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Ge, Zhengzheng, Xiaorong Yu, Tao Chen, Yifu Luo, and Qi Wang. "Optimization of Electricity Trading Strategies for Electricity Retailers in the Electricity Market." In 2023 5th International Conference on Power and Energy Technology (ICPET). IEEE, 2023. http://dx.doi.org/10.1109/icpet59380.2023.10367427.

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Dudin, Boris Mikhailovich. "Radiant electricity, cold electricity or "virtual" ether." In Наука, технологии и техника. Нижний Новгород: Профессиональная наука, 2022. http://dx.doi.org/10.54092/9781471638893_5.

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Kurcz, János, Jaroslav Longauer, Peter Tóth, Ján Poničan, and Peter Janiga. "ELECTRICITY PRODUCTION OF PVPP FOR ELECTRICITY MARKET." In Second International Conference ETIMA 2023. Универзитет „Гоце Делчев“ - Штип, 2023. http://dx.doi.org/10.46763/etima2321047k.

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Wen, Xiangming, Hao Zeng, Zhaoming Lu, Wei Zheng, Chunlei Sun, and Jingyi Zhang. "Minimizing Electricity Cost in Multi-Electricity-Market Environment." In 2019 IEEE International Conference on Energy Internet (ICEI). IEEE, 2019. http://dx.doi.org/10.1109/icei.2019.00086.

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Lundgren, Jens, Jorgen Hellstrom, and Niklas Rudholm. "Multinational electricity market integration and electricity price dynamics." In 2008 5th International Conference on the European Electricity Market (EEM 2008). IEEE, 2008. http://dx.doi.org/10.1109/eem.2008.4579084.

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Hassan, M. Y., M. P. Abdullah, A. S. Arifin, F. Hussin, and M. S. Majid. "Electricity market models in restructured electricity supply industry." In 2008 IEEE 2nd International Power and Energy Conference (PECon). IEEE, 2008. http://dx.doi.org/10.1109/pecon.2008.4762618.

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Oboskalov, V., and T. Panikovskaya. "Electricity consumption management in a competitive electricity market." In ENERGY QUEST 2014. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/eq140111.

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Shu Fan and R. J. Hyndman. "Forecasting electricity demand in Australian National Electricity Market." In 2012 IEEE Power & Energy Society General Meeting. New Energy Horizons - Opportunities and Challenges. IEEE, 2012. http://dx.doi.org/10.1109/pesgm.2012.6345304.

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Qi, Weipeng, Heng Yue, Siyang Xu, Xin Jin, and Leilei Zhao. "Comparison of the Accuracy of Predicting Electricity Revenue by Predicting Electricity Quantity and Predicting Electricity Revenue by Historical Received Electricity Fees." In Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8–10, 2023, Guangzhou, China. EAI, 2024. http://dx.doi.org/10.4108/eai.8-12-2023.2344731.

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Sackdara, V., S. Premrudeepreechacharn, and K. Ngamsanroaj. "Electricity demand forecasting of Electricite Du Lao (EDL) using neural networks." In 2010 IEEE Region 10 Conference (TENCON 2010). IEEE, 2010. http://dx.doi.org/10.1109/tencon.2010.5686767.

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Reports on the topic "Electricity"

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Skone, Timothy J. Electricity Transmission. Office of Scientific and Technical Information (OSTI), April 2013. http://dx.doi.org/10.2172/1509158.

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Poudineh, Rahmatallah, Donna Peng, and Seyed Mirnezami. Electricity networks. Oxford Institute for Energy Studies, December 2017. http://dx.doi.org/10.26889/9781784671006.

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Joskow, Paul, and Jean Tirole. Retail Electricity Competition. Cambridge, MA: National Bureau of Economic Research, May 2004. http://dx.doi.org/10.3386/w10473.

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Rajagopalan, B. Electricity over IP. RFC Editor, April 2002. http://dx.doi.org/10.17487/rfc3251.

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Skone, Timothy J. Electricity Distribution (Primary). Office of Scientific and Technical Information (OSTI), April 2013. http://dx.doi.org/10.2172/1509156.

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Skone, Timothy J. Electricity Distribution (Secondary). Office of Scientific and Technical Information (OSTI), April 2013. http://dx.doi.org/10.2172/1509157.

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Joskow, Paul. California's Electricity Crisis. Cambridge, MA: National Bureau of Economic Research, August 2001. http://dx.doi.org/10.3386/w8442.

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Poudineh, Rahmatallah, and Tooraj Jamasb. Electricity Supply Interruptions. Oxford Institute for Energy Studies, February 2015. http://dx.doi.org/10.26889/9781784670221.

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Sen, Anupama, Rabindra Nepal, and Tooraj Jamasb. Reforming Electricity Reforms? Oxford Institute for Energy Studies, February 2016. http://dx.doi.org/10.26889/9781784670504.

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Keay, Malcolm, and David Robinson. Managing Electricity Decarbonisation. Oxford Institute for Energy Studies, April 2017. http://dx.doi.org/10.26889/9781784670801.

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