Jayaprakash, Ponraj* and Chandramohan, A. and Sandeep, Jain EVOLVING COMPETITIVE ELECTRICITY MARKETS: RESEARCH PAPER ON OPERATIONS TECHNOLOGY AND MARKET MANAGEMENT SOLUTIONS - DEMAND FORECASTING. EVOLVING COMPETITIVE ELECTRICITY MARKETS: RESEARCH PAPER ON OPERATIONS TECHNOLOGY AND MARKET MANAGEMENT SOLUTIONS - DEMAND FORECASTING.
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Abstract
Background / Objectives: Worldwide governments, electricity regulatory bodies
and utility organizations are converging on instituting new business models towards
achievement of open access and thus autonomous electricity market objectives. Market
operations and management solutions play an important in influencing the evolution
of utilities transformation to autonomous state. The utilities are challenged to manage
their power procurement decisions every day basis due to various uncertainties such
as economic parameters, government policies on renewables, storage, energy
efficiency, weather parameters, holidays and special events like rally, election etc., on
a short, medium and long term basis. And this inefficiency is transferred to the
consumers in to increasing tariffs. Availability of accurate forecasting &
optimizations tools and algorithms interlaced with the utilities processes would
significantly bring in synergy and hence reduce the inefficiencies in energy portfolio management. The optimization of revenue or procurement cost is associated with uncertainties in demand and supply. Accurate forecasting of demand and supply changes over intra-day, day ahead, weekly, monthly and a yearly is helps utility in buy and sell decisions of energy through energy exchanges, banking and bilateral contracts. Demand forecasting is dependent on various independent factors such as weather conditions, hour of a day, day of a week, holiday patterns, special events, etc.,
Item Type: | Article |
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Subjects: | Management Studies > Management |
Divisions: | Management Studies |
Depositing User: | Mr IR Admin |
Date Deposited: | 28 Sep 2024 10:16 |
Last Modified: | 28 Sep 2024 10:16 |
URI: | https://ir.vistas.ac.in/id/eprint/7572 |