Supply and Load Forecasting Sample Clauses

Supply and Load Forecasting. Short- to medium-term load forecasting is typically performed using software-based decision support tools that require numerous near-real time inputs for decision-making. NASA weather and energy resource data could be integrated into these forecasting models relatively easily, provided that specific products were developed and available on a timely basis. NASA is already pursuing a partnership with EPRI who has an existing load forecast decision support system. Partnerships with NOAA would likely be required to ensure continued operational datasets and a smooth transition from research to operations. Load forecasting is closely aligned with GEOSS and has potential global application. With existing data, nascent partnerships, and alignment with GEOSS, supply and load forecasting would be an optimal subject for further development.
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Supply and Load Forecasting. The energy sector uses near-term (1 hour to 2 weeks) and medium-term (monthly and seasonal) load forecasting models to adjust electricity generation to meet demand and to optimize generation and purchase of lower cost power sources. Load forecasting tools use inputs such as existing and historical 71 U.S. EPA, Heat Island Effect, Energy Savings, ▇▇▇▇://▇▇▇.▇▇▇.▇▇▇/heatisland/about/energysavings.html. Accessed July 21, 2005. 72 U.S. EPA, Heat Island Effect, Research, ▇▇▇▇://▇▇▇.▇▇▇.▇▇▇/heatisland/research/index.html. Accessed July 21, 2005. loads, meteorological data including real-time and weather forecast data, economic data such as the cost of energy, and available energy sources. ▪ Meteorology data, including temperature, cloud cover, and visibility ▪ Solar radiation ▪ Wind resources ▪ Reservoir height and rainfall ▪ Seasonal climatology models Several basic load models exist, one of the most common types being artificial neural network models, which use historical loads and predicted temperature. Statistical regression models are also used to estimate load. Statistical economic models are used in conjunction with load forecasting models, although they are more difficult to predict than load.73 Supply and load forecasting models have also been developed for specific types of energy, such as wind power, that incorporate relevant resource parameters.74 A variety of nonprofit organizations and private companies have developed load forecasting software marketed to the energy industry. For example, the Electric Power Research Institute (EPRI) has developed the Artificial Neural Network Short-Term Load Forecaster, which forecasts hourly system loads from 1 hour to 35 days ahead with errors less than 3%.75 NASA’s contribution would be greater in medium-term forecasting, since NOAA as an operational agency provides the real-time data needed for short-term forecasting. NASA is establishing a partnership with EPRI focused on the possibility of integrating NASA data and models into EPRI’s load forecasting decision support systems.76 73 ▇▇▇▇▇, ▇., Electricity Load and Price Forecasting Using Statistical Methods and Models, Second Moment, ▇▇▇▇://▇▇▇.▇▇▇▇▇▇▇▇▇▇▇▇.▇▇▇/articles/electricity.php. Accessed August 2, 2005. 74 Neural Network-Based Forecasting for Wind Generation, Strategic Science and Technology, EPRI, September 2003.
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Related to Supply and Load Forecasting

  • TRUNK FORECASTING 57.1. CLEC shall provide forecasts for traffic utilization over trunk groups. Orders for trunks that exceed forecasted quantities for forecasted locations will be accommodated as facilities and/or equipment are available. Sprint shall make all reasonable efforts and cooperate in good faith to develop alternative solutions to accommodate orders when facilities are not available. Company forecast information must be provided by CLEC to Sprint twice a year. The initial trunk forecast meeting should take place soon after the first implementation meeting. A forecast should be provided at or prior to the first implementation meeting. The semi-annual forecasts shall project trunk gain/loss on a monthly basis for the forecast period, and shall include: 57.1.1. Semi-annual forecasted trunk quantities (which include baseline data that reflect actual Tandem and end office Local Interconnection and meet point trunks and Tandem-subtending Local Interconnection end office equivalent trunk requirements) for no more than two years (current plus one year); 57.1.2. The use of Common Language Location Identifier (CLLI-MSG), which are described in Telcordia documents BR ▇▇▇-▇▇▇-▇▇▇ and BR ▇▇▇-▇▇▇-▇▇▇; 57.1.3. Description of major network projects that affect the other Party will be provided in the semi-annual forecasts. Major network projects include but are not limited to trunking or network rearrangements, shifts in anticipated traffic patterns, or other activities by CLEC that are reflected by a significant increase or decrease in trunking demand for the following forecasting period. 57.1.4. Parties shall meet to review and reconcile the forecasts if forecasts vary significantly.

  • Supply of Products ‌‌ 3.1 The Supplier warrants that the Products shall: (a) correspond with their description and any applicable Product Specification; (b) conform in all respects with the Order and any relevant sample; (c) be of satisfactory quality and fit for any purpose held out by the Supplier or made known to the Supplier by Ornua, expressly or by implication, and in this respect Ornua relies on the Supplier's skill and judgement; (d) be manufactured by properly trained and qualified personnel using all reasonable skill, care and diligence and in a good and workmanlike manner;‌ (e) where they are manufactured products, be free from defects in design, materials and workmanship and remain so for the period set out in the Product Specification or, if none is specified, for at least 12 months after delivery; (f) comply with all applicable statutory and regulatory requirements relating to the manufacture, labelling, packaging, storage, handling and delivery of the Products;‌ (g) comply with all relevant standards including any UK Standards, European Standards or International Standards applicable in the UK and the country or State where the Products are to be used; and (h) in the case of Products containing food stuffs, when delivered to Ornua, comply with all applicable food and hygiene legislation and regulations and best industry practice.‌ 3.2 The Supplier shall ensure that at all times it has and maintains all licences, permissions, authorisations, consents and permits needed to carry out its obligations under the Contract in respect of the supply of Products. Breach of this Condition shall be deemed a material breach of the Contract. 3.3 Ornua may inspect and test the Products at any time before delivery. The Supplier shall remain fully responsible for the Products despite any such inspection or testing and any such inspection or testing shall not reduce or otherwise affect the Supplier's obligations under the Contract. 3.4 If following such inspection or testing Ornua considers that the Products do not comply or are unlikely to comply with the Supplier's undertakings at clause 3.1, Ornua shall inform the Supplier and the Supplier shall immediately take such remedial action as is necessary to ensure compliance.‌ 3.5 Ornua may conduct further inspections and tests after the Supplier has carried out its remedial actions.

  • Rolling Forecast (i) On or before the fifteenth (15th) calendar day of each month during the Term (as defined in Section 6.1 herein), Buyer shall provide Seller with an updated eighteen (18) month forecast of the Products to be manufactured and supplied (each a “Forecast”) for the eighteen (18) month period beginning on the first day of the following calendar month. The first two months of each Forecast will restate the balance of the Firm Order period of the prior Forecast, and the first three (3) months of the Forecast shall constitute the new Firm Order period for which Buyer is obligated to purchase and take delivery of the forecasted Product, and the supply required for the last month of such new Firm Order period shall not be more than one (1) full Standard Manufacturing Batch from the quantity specified for such month in the previous Forecast (or Initial Forecast, as the case may be). Except as provided in Section 2.2(a), Purchase Orders setting forth Buyer’s monthly Product requirements will be issued for the last month of each Firm Order period no later than the fifteenth calendar day of the first month of each Firm Order period, and such Purchase Order will be in agreement with the Firm Order period of the Forecast. If a Purchase Order for any month is not submitted by such deadline, Buyer shall be deemed to have submitted a Purchase Order for such month for the amount of Product set forth in Buyer’s Forecast for such month. (ii) The remainder of the Forecast shall set forth Buyer’s best estimate of its Product production and supply requirements for the remainder of the Forecast period. Each portion of such Forecast that is not deemed to be a Firm Order shall not be deemed to create a binding obligation on Buyer to purchase and take delivery of Products nor a binding obligation of Seller to deliver Products, except as otherwise provided in Section 2.2(f). (iii) Forecast and Purchase Orders shall be in full Standard Manufacturing Batches. If a Product has multiple SKUs, then the composite of the forecasted SKU must equate to the Standard Manufacturing Batch. One Purchase Order shall be issued for each full Standard Manufacturing Batch of Product and contain the required information set forth in Section 2.2(e) hereof.

  • Packaging Materials and Containers for Retail Sale 1. When packaging materials and containers in which a good is packaged for retail sales are classified in the Harmonized System with the good, they shall not be taken into account in determining whether all non-originating materials used in the production of the good undergo the applicable change in tariff classification set out in Annex 4.03. 2. When the good is subject to a requirement of regional value content, the value of these packaging materials and containers shall be taken into account as originating or non-originating materials, as the case may be, in calculating the regional value content of the good.

  • Rolling Forecasts The Client shall provide Patheon with a written non-binding [ * ] forecast of the volume of each Product that the Client then anticipates will be required to be produced and delivered to the Client during each [ * ] of that [ * ] period. Such forecast will be updated by the Client [ * ] on or before the [ * ] day of each [ * ] on a rolling [ * ] basis. The most recent [ * ] forecast shall prevail.