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Job scheduling under Time-of-Use energy tariffs for sustainable manufacturing : a survey

Catanzaro, Daniele; Pesenti, Raffaele; Ronco, Roberto - In: European journal of operational research : EJOR 308 (2023) 3, pp. 1091-1109

Persistent link: https://www.econbiz.de/10014311878

Electric load forecasting methods : tools for decision making

Hahn, Heiko; Meyer-Nieberg, Silja; Pickl, Stefan - In: European journal of operational research : EJOR 199 (2009) 3, pp. 902-907

Persistent link: https://www.econbiz.de/10003900554

Triple seasonal methods for short-term electricity demand forecasting

Taylor, James W. - In: European journal of operational research : EJOR 204 (2010) 1, pp. 139-152

Persistent link: https://www.econbiz.de/10003946654

Electricity futures price models : calibration and forecasting

Islyaev, Suren; Date, Paresh - In: European journal of operational research : EJOR 247 (2015) 1, pp. 144-154

Persistent link: https://www.econbiz.de/10011347115

Modeling special-day effects for forecasting intraday electricity demand

Kim, Myung Suk - In: European journal of operational research : EJOR 230 (2013) 1, pp. 170-180

Persistent link: https://www.econbiz.de/10009766804

Forecasting day-ahead electricity load using a multiple equation time series approach

Clements, Adam; Hurn, Stan; Li, Z. - In: European journal of operational research : EJOR 251 (2016) 2, pp. 522-530

Persistent link: https://www.econbiz.de/10011444344

On the relations between ELECTRE TRI-B and ELECTRE TRI-C and on a new variant of ELECTRE TRI-B

Bouyssou, Denis; Marchant, Thierry - In: European journal of operational research : EJOR 242 (2015) 1, pp. 201-211

Persistent link: https://www.econbiz.de/10010488015

Pakistan's electrical energy crises, a way forward towards 50% of sustain clean and green electricity generation

Tao, Jinsong; Waqas, Muhammad; Ali, Muhammad; Umair, … - In: Energy strategy reviews 40 (2022), pp. 1-17

has been convulsed by electricity shortages that at times have reached over 10-15% of total demand; Therefore, we … forecasting techniques. In order to determine electricity-influencing factors, the assumptions were analyzed using multiple … Pakistan's power system will likely demand 192.64 TWh, 346.31 TWh, 600.08 TWh, and 2299.59 TWh of electricity by 2025, 2030 …

Persistent link: https://www.econbiz.de/10013197363

Modeling electricity consumption patterns during the COVID-19 pandemic across six socioeconomic sectors in the State of Qatar

Abulibdeh, Ammar - In: Energy strategy reviews 38 (2021), pp. 1-17

aims to investigate the impact of the pandemic on the spatial patterns of electricity consumption in six socioeconomic … spatiotemporal patterns of electricity consumption have been assessed using various Geographic Information Systems (GIS) and spatial … statistical modeling prior and during the pandemic. The results demonstrate variations in electricity consumption within and …

Persistent link: https://www.econbiz.de/10013183765

Calculating Great Britain's half-hourly electrical demand from publicly available data

Wilson, Grant; Sharma, Shivangi; Day, Joseph; Godfrey, Noah - In: Energy strategy reviews 38 (2021), pp. 1-20

Here we present a method to combine half-hourly publicly available electrical generation and interconnector operational data for Great Britain to create a timeseries that approximates its electrical demand. We term the calculated electrical demand ‘ESPENI’ that is an acronym for Elexon Sum...

Persistent link: https://www.econbiz.de/10013184152